diff --git a/aiida_nfdi.ipynb b/aiida_nfdi.ipynb
index 4f54e4f..4c4aeef 100644
--- a/aiida_nfdi.ipynb
+++ b/aiida_nfdi.ipynb
@@ -298,16 +298,6 @@
    "source": "## Load Workflow with pyiron_base",
    "metadata": {}
   },
-  {
-   "id": "fdde6b82-b51d-434a-a9a8-5a8c31bbb429",
-   "cell_type": "code",
-   "source": "from pyiron_base import Project",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": 20
-  },
   {
    "id": "be4d5d93-e9f6-4072-a6be-0ee5dc93590f",
    "cell_type": "code",
@@ -318,34 +308,11 @@
    "outputs": [],
    "execution_count": 21
   },
-  {
-   "id": "4db75587-5f4c-416d-a1f6-c949077fa2ca",
-   "cell_type": "code",
-   "source": "pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "0it [00:00, ?it/s]",
-      "application/vnd.jupyter.widget-view+json": {
-       "version_major": 2,
-       "version_minor": 0,
-       "model_id": "744782e84c574359874689c2242fb2d8"
-      }
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 22
-  },
   {
    "id": "4452a648-d4c3-4f5f-8678-ffb54bef17dc",
    "cell_type": "code",
    "source": [
-    "delayed_object_lst = load_workflow_json(project=pr, file_name=workflow_json_filename)\n",
+    "delayed_object_lst = load_workflow_json(file_name=workflow_json_filename)\n",
     "delayed_object_lst[-1].draw()"
    ],
    "metadata": {
@@ -386,26 +353,6 @@
     }
    ],
    "execution_count": 24
-  },
-  {
-   "id": "b3bba27e-ece9-4c02-834c-53e69844b140",
-   "cell_type": "code",
-   "source": "pr.job_table()",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "execution_count": 25,
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": "   id    status chemicalformula  \\\n0   1  finished            None   \n1   2  finished            None   \n2   3  finished            None   \n3   4  finished            None   \n4   5  finished            None   \n5   6  finished            None   \n\n                                                  job  \\\n0      generate_mesh_0b48cf5155cd6802c17d20bb58104132   \n1    convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43   \n2            poisson_a0224b23ceb2119d105a5d98ef37f93e   \n3     plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b   \n4  substitute_macros_874fc185ecec04b4cb9537c58b7efb7b   \n5      compile_paper_3cee534ffe692833d37faf1fd2170cb6   \n\n                                                subjob projectpath  \\\n0      /generate_mesh_0b48cf5155cd6802c17d20bb58104132        None   \n1    /convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43        None   \n2            /poisson_a0224b23ceb2119d105a5d98ef37f93e        None   \n3     /plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b        None   \n4  /substitute_macros_874fc185ecec04b4cb9537c58b7efb7b        None   \n5      /compile_paper_3cee534ffe692833d37faf1fd2170cb6        None   \n\n              project                  timestart timestop totalcputime  \\\n0  /home/jovyan/test/ 2025-04-12 11:32:18.725836     None         None   \n1  /home/jovyan/test/ 2025-04-12 11:32:21.567671     None         None   \n2  /home/jovyan/test/ 2025-04-12 11:32:24.772144     None         None   \n3  /home/jovyan/test/ 2025-04-12 11:32:30.023925     None         None   \n4  /home/jovyan/test/ 2025-04-12 11:32:34.237777     None         None   \n5  /home/jovyan/test/ 2025-04-12 11:32:36.156992     None         None   \n\n                                                    computer  \\\n0  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n1  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n2  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n3  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n4  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n5  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n\n                     hamilton hamversion parentid masterid  \n0  PythonFunctionContainerJob        0.4     None     None  \n1  PythonFunctionContainerJob        0.4     None     None  \n2  PythonFunctionContainerJob        0.4     None     None  \n3  PythonFunctionContainerJob        0.4     None     None  \n4  PythonFunctionContainerJob        0.4     None     None  \n5  PythonFunctionContainerJob        0.4     None     None  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>status</th>\n      <th>chemicalformula</th>\n      <th>job</th>\n      <th>subjob</th>\n      <th>projectpath</th>\n      <th>project</th>\n      <th>timestart</th>\n      <th>timestop</th>\n      <th>totalcputime</th>\n      <th>computer</th>\n      <th>hamilton</th>\n      <th>hamversion</th>\n      <th>parentid</th>\n      <th>masterid</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>generate_mesh_0b48cf5155cd6802c17d20bb58104132</td>\n      <td>/generate_mesh_0b48cf5155cd6802c17d20bb58104132</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:32:18.725836</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43</td>\n      <td>/convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:32:21.567671</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>poisson_a0224b23ceb2119d105a5d98ef37f93e</td>\n      <td>/poisson_a0224b23ceb2119d105a5d98ef37f93e</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:32:24.772144</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b</td>\n      <td>/plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:32:30.023925</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>substitute_macros_874fc185ecec04b4cb9537c58b7efb7b</td>\n      <td>/substitute_macros_874fc185ecec04b4cb9537c58b7efb7b</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:32:34.237777</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>6</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>compile_paper_3cee534ffe692833d37faf1fd2170cb6</td>\n      <td>/compile_paper_3cee534ffe692833d37faf1fd2170cb6</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:32:36.156992</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 25
   }
  ]
 }
diff --git a/aiida_qe.ipynb b/aiida_qe.ipynb
index 764f326..53f8672 100644
--- a/aiida_qe.ipynb
+++ b/aiida_qe.ipynb
@@ -348,15 +348,6 @@
    "source": "## Load Workflow with pyiron_base",
    "metadata": {}
   },
-  {
-   "cell_type": "code",
-   "source": "from pyiron_base import Project",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": 22
-  },
   {
    "cell_type": "code",
    "source": "from python_workflow_definition.pyiron_base import load_workflow_json",
@@ -368,29 +359,10 @@
   },
   {
    "cell_type": "code",
-   "source": "pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "0it [00:00, ?it/s]",
-      "application/vnd.jupyter.widget-view+json": {
-       "version_major": 2,
-       "version_minor": 0,
-       "model_id": "682a9c9d86fb4bc4823cd8112c5ffdf4"
-      }
-     },
-     "metadata": {}
-    }
+   "source": [
+    "delayed_object_lst = load_workflow_json(file_name=workflow_json_filename)\n",
+    "delayed_object_lst[-1].draw()"
    ],
-   "execution_count": 24
-  },
-  {
-   "cell_type": "code",
-   "source": "delayed_object_lst = load_workflow_json(project=pr, file_name=workflow_json_filename)\ndelayed_object_lst[-1].draw()",
    "metadata": {
     "trusted": true
    },
diff --git a/aiida_simple.ipynb b/aiida_simple.ipynb
index b7356df..8bdbebb 100644
--- a/aiida_simple.ipynb
+++ b/aiida_simple.ipynb
@@ -175,15 +175,6 @@
    "source": "## Load Workflow with pyiron_base",
    "metadata": {}
   },
-  {
-   "cell_type": "code",
-   "source": "from pyiron_base import Project",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": 12
-  },
   {
    "cell_type": "code",
    "source": "from python_workflow_definition.pyiron_base import load_workflow_json",
@@ -193,32 +184,10 @@
    "outputs": [],
    "execution_count": 13
   },
-  {
-   "cell_type": "code",
-   "source": "pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "0it [00:00, ?it/s]",
-      "application/vnd.jupyter.widget-view+json": {
-       "version_major": 2,
-       "version_minor": 0,
-       "model_id": "1cebe3e991ff4d8aacbea78a858011fb"
-      }
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 14
-  },
   {
    "cell_type": "code",
    "source": [
-    "delayed_object_lst = load_workflow_json(project=pr, file_name=workflow_json_filename)\n",
+    "delayed_object_lst = load_workflow_json(file_name=workflow_json_filename)\n",
     "delayed_object_lst[-1].draw()"
    ],
    "metadata": {
diff --git a/jobflow_nfdi.ipynb b/jobflow_nfdi.ipynb
index 9173c71..681b31d 100644
--- a/jobflow_nfdi.ipynb
+++ b/jobflow_nfdi.ipynb
@@ -261,16 +261,6 @@
    "source": "## Load Workflow with pyiron_base",
    "metadata": {}
   },
-  {
-   "id": "fdde6b82-b51d-434a-a9a8-5a8c31bbb429",
-   "cell_type": "code",
-   "source": "from pyiron_base import Project",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": 18
-  },
   {
    "id": "be4d5d93-e9f6-4072-a6be-0ee5dc93590f",
    "cell_type": "code",
@@ -281,34 +271,11 @@
    "outputs": [],
    "execution_count": 19
   },
-  {
-   "id": "4db75587-5f4c-416d-a1f6-c949077fa2ca",
-   "cell_type": "code",
-   "source": "pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "0it [00:00, ?it/s]",
-      "application/vnd.jupyter.widget-view+json": {
-       "version_major": 2,
-       "version_minor": 0,
-       "model_id": "9a6ea2489a6847ab8375930b499b9a7f"
-      }
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 20
-  },
   {
    "id": "4452a648-d4c3-4f5f-8678-ffb54bef17dc",
    "cell_type": "code",
    "source": [
-    "delayed_object_lst = load_workflow_json(project=pr, file_name=workflow_json_filename)\n",
+    "delayed_object_lst = load_workflow_json(file_name=workflow_json_filename)\n",
     "delayed_object_lst[-1].draw()"
    ],
    "metadata": {
@@ -349,26 +316,6 @@
     }
    ],
    "execution_count": 22
-  },
-  {
-   "id": "b3bba27e-ece9-4c02-834c-53e69844b140",
-   "cell_type": "code",
-   "source": "pr.job_table()",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "execution_count": 23,
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": "   id    status chemicalformula  \\\n0   1  finished            None   \n1   2  finished            None   \n2   3  finished            None   \n3   4  finished            None   \n4   5  finished            None   \n5   6  finished            None   \n\n                                                  job  \\\n0      generate_mesh_0b48cf5155cd6802c17d20bb58104132   \n1    convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43   \n2            poisson_a0224b23ceb2119d105a5d98ef37f93e   \n3     plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b   \n4  substitute_macros_874fc185ecec04b4cb9537c58b7efb7b   \n5      compile_paper_3cee534ffe692833d37faf1fd2170cb6   \n\n                                                subjob projectpath  \\\n0      /generate_mesh_0b48cf5155cd6802c17d20bb58104132        None   \n1    /convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43        None   \n2            /poisson_a0224b23ceb2119d105a5d98ef37f93e        None   \n3     /plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b        None   \n4  /substitute_macros_874fc185ecec04b4cb9537c58b7efb7b        None   \n5      /compile_paper_3cee534ffe692833d37faf1fd2170cb6        None   \n\n              project                  timestart timestop totalcputime  \\\n0  /home/jovyan/test/ 2025-04-12 11:33:56.439299     None         None   \n1  /home/jovyan/test/ 2025-04-12 11:33:59.335257     None         None   \n2  /home/jovyan/test/ 2025-04-12 11:34:02.548200     None         None   \n3  /home/jovyan/test/ 2025-04-12 11:34:07.792544     None         None   \n4  /home/jovyan/test/ 2025-04-12 11:34:12.093499     None         None   \n5  /home/jovyan/test/ 2025-04-12 11:34:14.126943     None         None   \n\n                                                    computer  \\\n0  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n1  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n2  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n3  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n4  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n5  pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1   \n\n                     hamilton hamversion parentid masterid  \n0  PythonFunctionContainerJob        0.4     None     None  \n1  PythonFunctionContainerJob        0.4     None     None  \n2  PythonFunctionContainerJob        0.4     None     None  \n3  PythonFunctionContainerJob        0.4     None     None  \n4  PythonFunctionContainerJob        0.4     None     None  \n5  PythonFunctionContainerJob        0.4     None     None  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>status</th>\n      <th>chemicalformula</th>\n      <th>job</th>\n      <th>subjob</th>\n      <th>projectpath</th>\n      <th>project</th>\n      <th>timestart</th>\n      <th>timestop</th>\n      <th>totalcputime</th>\n      <th>computer</th>\n      <th>hamilton</th>\n      <th>hamversion</th>\n      <th>parentid</th>\n      <th>masterid</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>generate_mesh_0b48cf5155cd6802c17d20bb58104132</td>\n      <td>/generate_mesh_0b48cf5155cd6802c17d20bb58104132</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:33:56.439299</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43</td>\n      <td>/convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:33:59.335257</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>poisson_a0224b23ceb2119d105a5d98ef37f93e</td>\n      <td>/poisson_a0224b23ceb2119d105a5d98ef37f93e</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:34:02.548200</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b</td>\n      <td>/plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:34:07.792544</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>substitute_macros_874fc185ecec04b4cb9537c58b7efb7b</td>\n      <td>/substitute_macros_874fc185ecec04b4cb9537c58b7efb7b</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:34:12.093499</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>6</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>compile_paper_3cee534ffe692833d37faf1fd2170cb6</td>\n      <td>/compile_paper_3cee534ffe692833d37faf1fd2170cb6</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-12 11:34:14.126943</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-a8grxfsa#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 23
   }
  ]
 }
diff --git a/jobflow_qe.ipynb b/jobflow_qe.ipynb
index 6b4dc3b..40017e2 100644
--- a/jobflow_qe.ipynb
+++ b/jobflow_qe.ipynb
@@ -280,15 +280,6 @@
    "source": "## Load Workflow with pyiron_base",
    "metadata": {}
   },
-  {
-   "cell_type": "code",
-   "source": "from pyiron_base import Project",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": 22
-  },
   {
    "cell_type": "code",
    "source": "from python_workflow_definition.pyiron_base import load_workflow_json",
@@ -300,29 +291,10 @@
   },
   {
    "cell_type": "code",
-   "source": "pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "0it [00:00, ?it/s]",
-      "application/vnd.jupyter.widget-view+json": {
-       "version_major": 2,
-       "version_minor": 0,
-       "model_id": "0ad56db618324969912cc31cbdc3ba9f"
-      }
-     },
-     "metadata": {}
-    }
+   "source": [
+    "delayed_object_lst = load_workflow_json(file_name=workflow_json_filename)\n",
+    "delayed_object_lst[-1].draw()"
    ],
-   "execution_count": 24
-  },
-  {
-   "cell_type": "code",
-   "source": "delayed_object_lst = load_workflow_json(project=pr, file_name=workflow_json_filename)\ndelayed_object_lst[-1].draw()",
    "metadata": {
     "trusted": true
    },
diff --git a/jobflow_simple.ipynb b/jobflow_simple.ipynb
index 819f7b8..2bcaa7e 100644
--- a/jobflow_simple.ipynb
+++ b/jobflow_simple.ipynb
@@ -226,16 +226,6 @@
    "source": "## Load Workflow with pyiron_base",
    "metadata": {}
   },
-  {
-   "id": "40672826-23bf-4c24-84e2-a6b9d87e2a3f",
-   "cell_type": "code",
-   "source": "from pyiron_base import Project",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": 15
-  },
   {
    "id": "ea102341-84f7-4156-a7d1-c3ab1ea613a5",
    "cell_type": "code",
@@ -246,34 +236,11 @@
    "outputs": [],
    "execution_count": 16
   },
-  {
-   "id": "f45684a8-2613-415a-ab0a-5cb2bafaffea",
-   "cell_type": "code",
-   "source": "pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "0it [00:00, ?it/s]",
-      "application/vnd.jupyter.widget-view+json": {
-       "version_major": 2,
-       "version_minor": 0,
-       "model_id": "abd26e6c402949569a7bdc1d627eb7ee"
-      }
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 17
-  },
   {
    "id": "8f2a621d-b533-4ddd-8bcd-c22db2f922ec",
    "cell_type": "code",
    "source": [
-    "delayed_object_lst = load_workflow_json(project=pr, file_name=workflow_json_filename)\n",
+    "delayed_object_lst = load_workflow_json(file_name=workflow_json_filename)\n",
     "delayed_object_lst[-1].draw()"
    ],
    "metadata": {
diff --git a/pyiron_base_nfdi.ipynb b/pyiron_base_nfdi.ipynb
index 07cbce8..2bcebe2 100644
--- a/pyiron_base_nfdi.ipynb
+++ b/pyiron_base_nfdi.ipynb
@@ -1 +1,336 @@
-{"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.12.8","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":5,"nbformat":4,"cells":[{"id":"106ded66-d202-46ac-82b0-2755ca309bdd","cell_type":"markdown","source":"# pyiron\n\nhttps://github.com/BAMresearch/NFDI4IngScientificWorkflowRequirements","metadata":{}},{"id":"91dd48ea-aa7e-4937-a68e-59fc5017eb1e","cell_type":"markdown","source":"## Define workflow with pyiron_base","metadata":{}},{"id":"a76e6c0a-98f2-4436-af10-8097da183341","cell_type":"code","source":"from nfdi_ing_workflow import (\n    generate_mesh as _generate_mesh, \n    convert_to_xdmf as _convert_to_xdmf,\n    poisson as _poisson,\n    plot_over_line as _plot_over_line,\n    substitute_macros as _substitute_macros,\n    compile_paper as _compile_paper,\n)","metadata":{"trusted":true},"outputs":[],"execution_count":1},{"id":"89c02460-b543-442c-a27e-f1757dc2262e","cell_type":"code","source":"from pyiron_base import Project, job\n\nfrom python_workflow_definition.pyiron_base import write_workflow_json","metadata":{"trusted":true},"outputs":[],"execution_count":2},{"id":"549ecf27-88ef-4e77-8bd4-b616cfdda2e4","cell_type":"code","source":"generate_mesh = job(_generate_mesh)\nconvert_to_xdmf = job(_convert_to_xdmf, output_key_lst=[\"xdmf_file\", \"h5_file\"])\npoisson = job(_poisson, output_key_lst=[\"numdofs\", \"pvd_file\", \"vtu_file\"])\nplot_over_line = job(_plot_over_line)\nsubstitute_macros = job(_substitute_macros)\ncompile_paper = job(_compile_paper)","metadata":{"trusted":true},"outputs":[],"execution_count":3},{"id":"508e6549-f7b8-492b-8c88-9e46c08ffca9","cell_type":"code","source":"pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)","metadata":{"trusted":true},"outputs":[{"output_type":"display_data","data":{"text/plain":"0it [00:00, ?it/s]","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"ff6d4bafbd7c4f0f9ac5a1bef732e8a9"}},"metadata":{}}],"execution_count":4},{"id":"8d911f98-3b80-457f-a0f4-3cb37ebf1691","cell_type":"code","source":"domain_size = 2.0","metadata":{"trusted":true},"outputs":[],"execution_count":5},{"id":"71d411b6-cbec-489e-99e3-ba71680bcb5b","cell_type":"code","source":"gmsh_output_file = generate_mesh(\n    domain_size=domain_size,\n    pyiron_project=pr\n)","metadata":{"tags":[],"trusted":true},"outputs":[],"execution_count":6},{"id":"1d0d9804-f250-48b3-a5d0-a546d520f79b","cell_type":"code","source":"meshio_output_dict = convert_to_xdmf(\n    gmsh_output_file=gmsh_output_file,\n    pyiron_project=pr,\n)","metadata":{"tags":[],"trusted":true},"outputs":[],"execution_count":7},{"id":"7b69bcff-e2b1-4d4a-b62c-6a1c86eeb590","cell_type":"code","source":"poisson_dict = poisson(\n    meshio_output_xdmf=meshio_output_dict.output.xdmf_file, \n    meshio_output_h5=meshio_output_dict.output.h5_file,\n    pyiron_project=pr,\n)","metadata":{"tags":[],"trusted":true},"outputs":[],"execution_count":8},{"id":"3c4a29b0-eb1e-490a-8be0-e03cfff15e0a","cell_type":"code","source":"pvbatch_output_file = plot_over_line(\n    poisson_output_pvd_file=poisson_dict.output.pvd_file, \n    poisson_output_vtu_file=poisson_dict.output.vtu_file,\n    pyiron_project=pr,\n)","metadata":{"tags":[],"trusted":true},"outputs":[],"execution_count":9},{"id":"a0a4c233-322d-4723-9627-62ca2487bfa9","cell_type":"code","source":"macros_tex_file = substitute_macros( \n    pvbatch_output_file=pvbatch_output_file, \n    ndofs=poisson_dict.output.numdofs, \n    domain_size=domain_size,\n    pyiron_project=pr,\n)","metadata":{"tags":[],"trusted":true},"outputs":[],"execution_count":10},{"id":"c281408f-e63d-4380-a7e6-c595d49fbb8f","cell_type":"code","source":"paper_output = compile_paper(\n    macros_tex=macros_tex_file, \n    plot_file=pvbatch_output_file,\n    pyiron_project=pr,\n)","metadata":{"trusted":true},"outputs":[],"execution_count":11},{"id":"63f29646-3846-4a97-a033-20e9df0ac214","cell_type":"code","source":"workflow_json_filename = \"pyiron_base_nfdi.json\"","metadata":{"trusted":true},"outputs":[],"execution_count":12},{"id":"f62111ba-9271-4987-9c7e-3b1c9f9eae7a","cell_type":"code","source":"write_workflow_json(delayed_object=paper_output, file_name=workflow_json_filename)","metadata":{"trusted":true},"outputs":[],"execution_count":13},{"id":"d789971e-8f41-45fa-832a-11fd72dea96e","cell_type":"markdown","source":"## Load Workflow with aiida","metadata":{}},{"id":"a6e85e89-5d7a-40eb-809c-ac44974e3fd7","cell_type":"code","source":"from aiida import load_profile\n\nload_profile()","metadata":{"trusted":true},"outputs":[{"execution_count":14,"output_type":"execute_result","data":{"text/plain":"Profile<uuid='9da6a68ed2b14ffb920b92aa0a616339' name='pwd'>"},"metadata":{}}],"execution_count":14},{"id":"3de84fb7-b01b-4541-868a-92e881eb6e77","cell_type":"code","source":"from python_workflow_definition.aiida import load_workflow_json","metadata":{"trusted":true},"outputs":[],"execution_count":15},{"id":"b33f5528-10cd-47c8-8723-622902978859","cell_type":"code","source":"wg = load_workflow_json(file_name=workflow_json_filename)\nwg","metadata":{"trusted":true},"outputs":[{"execution_count":16,"output_type":"execute_result","data":{"text/plain":"NodeGraphWidget(settings={'minimap': True}, style={'width': '90%', 'height': '600px'}, value={'name': 'WorkGra…","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":1,"model_id":"847486e5747d4b499613d102658fee70"}},"metadata":{}}],"execution_count":16},{"id":"15282ca1-d339-40e7-ad68-8a7613ed08da","cell_type":"code","source":"wg.run()","metadata":{"trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":"04/12/2025 11:35:01 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: generate_mesh6\n04/12/2025 11:35:04 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: generate_mesh6, type: PyFunction, finished.\n04/12/2025 11:35:04 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: convert_to_xdmf5\n04/12/2025 11:35:08 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: convert_to_xdmf5, type: PyFunction, finished.\n04/12/2025 11:35:08 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: poisson4\n04/12/2025 11:35:14 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: poisson4, type: PyFunction, finished.\n04/12/2025 11:35:14 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: plot_over_line3\n04/12/2025 11:35:18 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: plot_over_line3, type: PyFunction, finished.\n04/12/2025 11:35:19 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: substitute_macros2\n04/12/2025 11:35:21 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: substitute_macros2, type: PyFunction, finished.\n04/12/2025 11:35:21 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: compile_paper1\n04/12/2025 11:35:28 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: compile_paper1, type: PyFunction, finished.\n04/12/2025 11:35:28 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n04/12/2025 11:35:28 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|finalize]: Finalize workgraph.\n"}],"execution_count":17},{"id":"55dc8d12-dfe6-4465-a368-b7e590ae6800","cell_type":"markdown","source":"## Load Workflow with jobflow","metadata":{}},{"id":"dff46eb8-e0e7-49bb-8c40-0db2df133124","cell_type":"code","source":"from python_workflow_definition.jobflow import load_workflow_json","metadata":{"trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":"/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"cipher\": algorithms.TripleDES,\n/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"class\": algorithms.TripleDES,\n"}],"execution_count":18},{"id":"6a189459-84e4-4738-ada1-37ee8c65b2ab","cell_type":"code","source":"from jobflow.managers.local import run_locally","metadata":{"trusted":true},"outputs":[],"execution_count":19},{"id":"6e7f3614-c971-4e2d-83f0-96f0d0fc04de","cell_type":"code","source":"flow = load_workflow_json(file_name=workflow_json_filename)","metadata":{"trusted":true},"outputs":[],"execution_count":20},{"id":"2d87ed45-f5d9-403f-a03a-26be4a47a3ef","cell_type":"code","source":"result = run_locally(flow)\nresult","metadata":{"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"2025-04-12 11:35:30,136 INFO Started executing jobs locally\n2025-04-12 11:35:30,744 INFO Starting job - generate_mesh (0f80ef51-d669-4847-b983-e66160aec47e)\n2025-04-12 11:35:33,225 INFO Finished job - generate_mesh (0f80ef51-d669-4847-b983-e66160aec47e)\n2025-04-12 11:35:33,227 INFO Starting job - convert_to_xdmf (43598809-0c1f-4860-9eff-0a031fa86860)\n2025-04-12 11:35:35,803 INFO Finished job - convert_to_xdmf (43598809-0c1f-4860-9eff-0a031fa86860)\n2025-04-12 11:35:35,806 INFO Starting job - poisson (b673be67-705a-451e-b756-1580c4a17871)\n2025-04-12 11:35:40,884 INFO Finished job - poisson (b673be67-705a-451e-b756-1580c4a17871)\n2025-04-12 11:35:40,888 INFO Starting job - plot_over_line (dc59e7e8-d7d8-4b7a-ad5e-2b5c9e8eebe1)\n2025-04-12 11:35:44,684 INFO Finished job - plot_over_line (dc59e7e8-d7d8-4b7a-ad5e-2b5c9e8eebe1)\n2025-04-12 11:35:44,687 INFO Starting job - substitute_macros (b16c774a-7742-4305-b583-f4597a02a9ac)\n2025-04-12 11:35:46,424 INFO Finished job - substitute_macros (b16c774a-7742-4305-b583-f4597a02a9ac)\n2025-04-12 11:35:46,426 INFO Starting job - compile_paper (0f8ecf9d-d21f-4b70-9467-e8344a8721e3)\n2025-04-12 11:35:52,494 INFO Finished job - compile_paper (0f8ecf9d-d21f-4b70-9467-e8344a8721e3)\n2025-04-12 11:35:52,496 INFO Finished executing jobs locally\n"},{"execution_count":21,"output_type":"execute_result","data":{"text/plain":"{'0f80ef51-d669-4847-b983-e66160aec47e': {1: Response(output='/home/jovyan/preprocessing/square.msh', detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n '43598809-0c1f-4860-9eff-0a031fa86860': {1: Response(output={'xdmf_file': '/home/jovyan/preprocessing/square.xdmf', 'h5_file': '/home/jovyan/preprocessing/square.h5'}, detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n 'b673be67-705a-451e-b756-1580c4a17871': {1: Response(output={'numdofs': 357, 'pvd_file': '/home/jovyan/processing/poisson.pvd', 'vtu_file': '/home/jovyan/processing/poisson000000.vtu'}, detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n 'dc59e7e8-d7d8-4b7a-ad5e-2b5c9e8eebe1': {1: Response(output='/home/jovyan/postprocessing/plotoverline.csv', detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n 'b16c774a-7742-4305-b583-f4597a02a9ac': {1: Response(output='/home/jovyan/postprocessing/macros.tex', detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n '0f8ecf9d-d21f-4b70-9467-e8344a8721e3': {1: Response(output='/home/jovyan/postprocessing/paper.pdf', detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))}}"},"metadata":{}}],"execution_count":21}]}
\ No newline at end of file
+{
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python",
+   "version": "3.12.8",
+   "mimetype": "text/x-python",
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "pygments_lexer": "ipython3",
+   "nbconvert_exporter": "python",
+   "file_extension": ".py"
+  }
+ },
+ "nbformat_minor": 5,
+ "nbformat": 4,
+ "cells": [
+  {
+   "id": "106ded66-d202-46ac-82b0-2755ca309bdd",
+   "cell_type": "markdown",
+   "source": "# pyiron\n\nhttps://github.com/BAMresearch/NFDI4IngScientificWorkflowRequirements",
+   "metadata": {}
+  },
+  {
+   "id": "91dd48ea-aa7e-4937-a68e-59fc5017eb1e",
+   "cell_type": "markdown",
+   "source": "## Define workflow with pyiron_base",
+   "metadata": {}
+  },
+  {
+   "id": "a76e6c0a-98f2-4436-af10-8097da183341",
+   "cell_type": "code",
+   "source": "from nfdi_ing_workflow import (\n    generate_mesh as _generate_mesh, \n    convert_to_xdmf as _convert_to_xdmf,\n    poisson as _poisson,\n    plot_over_line as _plot_over_line,\n    substitute_macros as _substitute_macros,\n    compile_paper as _compile_paper,\n)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 1
+  },
+  {
+   "id": "89c02460-b543-442c-a27e-f1757dc2262e",
+   "cell_type": "code",
+   "source": [
+    "from pyiron_base import job\n",
+    "\n",
+    "from python_workflow_definition.pyiron_base import write_workflow_json"
+   ],
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 2
+  },
+  {
+   "id": "549ecf27-88ef-4e77-8bd4-b616cfdda2e4",
+   "cell_type": "code",
+   "source": "generate_mesh = job(_generate_mesh)\nconvert_to_xdmf = job(_convert_to_xdmf, output_key_lst=[\"xdmf_file\", \"h5_file\"])\npoisson = job(_poisson, output_key_lst=[\"numdofs\", \"pvd_file\", \"vtu_file\"])\nplot_over_line = job(_plot_over_line)\nsubstitute_macros = job(_substitute_macros)\ncompile_paper = job(_compile_paper)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 3
+  },
+  {
+   "id": "8d911f98-3b80-457f-a0f4-3cb37ebf1691",
+   "cell_type": "code",
+   "source": "domain_size = 2.0",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 5
+  },
+  {
+   "id": "71d411b6-cbec-489e-99e3-ba71680bcb5b",
+   "cell_type": "code",
+   "source": [
+    "gmsh_output_file = generate_mesh(\n",
+    "    domain_size=domain_size,\n",
+    ")"
+   ],
+   "metadata": {
+    "tags": [],
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 6
+  },
+  {
+   "id": "1d0d9804-f250-48b3-a5d0-a546d520f79b",
+   "cell_type": "code",
+   "source": [
+    "meshio_output_dict = convert_to_xdmf(\n",
+    "    gmsh_output_file=gmsh_output_file,\n",
+    ")"
+   ],
+   "metadata": {
+    "tags": [],
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 7
+  },
+  {
+   "id": "7b69bcff-e2b1-4d4a-b62c-6a1c86eeb590",
+   "cell_type": "code",
+   "source": [
+    "poisson_dict = poisson(\n",
+    "    meshio_output_xdmf=meshio_output_dict.output.xdmf_file, \n",
+    "    meshio_output_h5=meshio_output_dict.output.h5_file,\n",
+    ")"
+   ],
+   "metadata": {
+    "tags": [],
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 8
+  },
+  {
+   "id": "3c4a29b0-eb1e-490a-8be0-e03cfff15e0a",
+   "cell_type": "code",
+   "source": [
+    "pvbatch_output_file = plot_over_line(\n",
+    "    poisson_output_pvd_file=poisson_dict.output.pvd_file, \n",
+    "    poisson_output_vtu_file=poisson_dict.output.vtu_file,\n",
+    ")"
+   ],
+   "metadata": {
+    "tags": [],
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 9
+  },
+  {
+   "id": "a0a4c233-322d-4723-9627-62ca2487bfa9",
+   "cell_type": "code",
+   "source": [
+    "macros_tex_file = substitute_macros( \n",
+    "    pvbatch_output_file=pvbatch_output_file, \n",
+    "    ndofs=poisson_dict.output.numdofs, \n",
+    "    domain_size=domain_size,\n",
+    ")"
+   ],
+   "metadata": {
+    "tags": [],
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 10
+  },
+  {
+   "id": "c281408f-e63d-4380-a7e6-c595d49fbb8f",
+   "cell_type": "code",
+   "source": [
+    "paper_output = compile_paper(\n",
+    "    macros_tex=macros_tex_file, \n",
+    "    plot_file=pvbatch_output_file,\n",
+    ")"
+   ],
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 11
+  },
+  {
+   "id": "63f29646-3846-4a97-a033-20e9df0ac214",
+   "cell_type": "code",
+   "source": "workflow_json_filename = \"pyiron_base_nfdi.json\"",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 12
+  },
+  {
+   "id": "f62111ba-9271-4987-9c7e-3b1c9f9eae7a",
+   "cell_type": "code",
+   "source": "write_workflow_json(delayed_object=paper_output, file_name=workflow_json_filename)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 13
+  },
+  {
+   "id": "d789971e-8f41-45fa-832a-11fd72dea96e",
+   "cell_type": "markdown",
+   "source": "## Load Workflow with aiida",
+   "metadata": {}
+  },
+  {
+   "id": "a6e85e89-5d7a-40eb-809c-ac44974e3fd7",
+   "cell_type": "code",
+   "source": "from aiida import load_profile\n\nload_profile()",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "execution_count": 14,
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "Profile<uuid='9da6a68ed2b14ffb920b92aa0a616339' name='pwd'>"
+     },
+     "metadata": {}
+    }
+   ],
+   "execution_count": 14
+  },
+  {
+   "id": "3de84fb7-b01b-4541-868a-92e881eb6e77",
+   "cell_type": "code",
+   "source": "from python_workflow_definition.aiida import load_workflow_json",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 15
+  },
+  {
+   "id": "b33f5528-10cd-47c8-8723-622902978859",
+   "cell_type": "code",
+   "source": "wg = load_workflow_json(file_name=workflow_json_filename)\nwg",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "execution_count": 16,
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "NodeGraphWidget(settings={'minimap': True}, style={'width': '90%', 'height': '600px'}, value={'name': 'WorkGra…",
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 1,
+       "model_id": "847486e5747d4b499613d102658fee70"
+      }
+     },
+     "metadata": {}
+    }
+   ],
+   "execution_count": 16
+  },
+  {
+   "id": "15282ca1-d339-40e7-ad68-8a7613ed08da",
+   "cell_type": "code",
+   "source": "wg.run()",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "04/12/2025 11:35:01 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: generate_mesh6\n04/12/2025 11:35:04 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: generate_mesh6, type: PyFunction, finished.\n04/12/2025 11:35:04 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: convert_to_xdmf5\n04/12/2025 11:35:08 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: convert_to_xdmf5, type: PyFunction, finished.\n04/12/2025 11:35:08 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: poisson4\n04/12/2025 11:35:14 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: poisson4, type: PyFunction, finished.\n04/12/2025 11:35:14 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: plot_over_line3\n04/12/2025 11:35:18 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: plot_over_line3, type: PyFunction, finished.\n04/12/2025 11:35:19 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: substitute_macros2\n04/12/2025 11:35:21 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: substitute_macros2, type: PyFunction, finished.\n04/12/2025 11:35:21 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: compile_paper1\n04/12/2025 11:35:28 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|update_task_state]: Task: compile_paper1, type: PyFunction, finished.\n04/12/2025 11:35:28 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n04/12/2025 11:35:28 AM <4360> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [67|WorkGraphEngine|finalize]: Finalize workgraph.\n"
+    }
+   ],
+   "execution_count": 17
+  },
+  {
+   "id": "55dc8d12-dfe6-4465-a368-b7e590ae6800",
+   "cell_type": "markdown",
+   "source": "## Load Workflow with jobflow",
+   "metadata": {}
+  },
+  {
+   "id": "dff46eb8-e0e7-49bb-8c40-0db2df133124",
+   "cell_type": "code",
+   "source": "from python_workflow_definition.jobflow import load_workflow_json",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"cipher\": algorithms.TripleDES,\n/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"class\": algorithms.TripleDES,\n"
+    }
+   ],
+   "execution_count": 18
+  },
+  {
+   "id": "6a189459-84e4-4738-ada1-37ee8c65b2ab",
+   "cell_type": "code",
+   "source": "from jobflow.managers.local import run_locally",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 19
+  },
+  {
+   "id": "6e7f3614-c971-4e2d-83f0-96f0d0fc04de",
+   "cell_type": "code",
+   "source": "flow = load_workflow_json(file_name=workflow_json_filename)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 20
+  },
+  {
+   "id": "2d87ed45-f5d9-403f-a03a-26be4a47a3ef",
+   "cell_type": "code",
+   "source": "result = run_locally(flow)\nresult",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "2025-04-12 11:35:30,136 INFO Started executing jobs locally\n2025-04-12 11:35:30,744 INFO Starting job - generate_mesh (0f80ef51-d669-4847-b983-e66160aec47e)\n2025-04-12 11:35:33,225 INFO Finished job - generate_mesh (0f80ef51-d669-4847-b983-e66160aec47e)\n2025-04-12 11:35:33,227 INFO Starting job - convert_to_xdmf (43598809-0c1f-4860-9eff-0a031fa86860)\n2025-04-12 11:35:35,803 INFO Finished job - convert_to_xdmf (43598809-0c1f-4860-9eff-0a031fa86860)\n2025-04-12 11:35:35,806 INFO Starting job - poisson (b673be67-705a-451e-b756-1580c4a17871)\n2025-04-12 11:35:40,884 INFO Finished job - poisson (b673be67-705a-451e-b756-1580c4a17871)\n2025-04-12 11:35:40,888 INFO Starting job - plot_over_line (dc59e7e8-d7d8-4b7a-ad5e-2b5c9e8eebe1)\n2025-04-12 11:35:44,684 INFO Finished job - plot_over_line (dc59e7e8-d7d8-4b7a-ad5e-2b5c9e8eebe1)\n2025-04-12 11:35:44,687 INFO Starting job - substitute_macros (b16c774a-7742-4305-b583-f4597a02a9ac)\n2025-04-12 11:35:46,424 INFO Finished job - substitute_macros (b16c774a-7742-4305-b583-f4597a02a9ac)\n2025-04-12 11:35:46,426 INFO Starting job - compile_paper (0f8ecf9d-d21f-4b70-9467-e8344a8721e3)\n2025-04-12 11:35:52,494 INFO Finished job - compile_paper (0f8ecf9d-d21f-4b70-9467-e8344a8721e3)\n2025-04-12 11:35:52,496 INFO Finished executing jobs locally\n"
+    },
+    {
+     "execution_count": 21,
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "{'0f80ef51-d669-4847-b983-e66160aec47e': {1: Response(output='/home/jovyan/preprocessing/square.msh', detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n '43598809-0c1f-4860-9eff-0a031fa86860': {1: Response(output={'xdmf_file': '/home/jovyan/preprocessing/square.xdmf', 'h5_file': '/home/jovyan/preprocessing/square.h5'}, detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n 'b673be67-705a-451e-b756-1580c4a17871': {1: Response(output={'numdofs': 357, 'pvd_file': '/home/jovyan/processing/poisson.pvd', 'vtu_file': '/home/jovyan/processing/poisson000000.vtu'}, detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n 'dc59e7e8-d7d8-4b7a-ad5e-2b5c9e8eebe1': {1: Response(output='/home/jovyan/postprocessing/plotoverline.csv', detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n 'b16c774a-7742-4305-b583-f4597a02a9ac': {1: Response(output='/home/jovyan/postprocessing/macros.tex', detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n '0f8ecf9d-d21f-4b70-9467-e8344a8721e3': {1: Response(output='/home/jovyan/postprocessing/paper.pdf', detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))}}"
+     },
+     "metadata": {}
+    }
+   ],
+   "execution_count": 21
+  }
+ ]
+}
diff --git a/pyiron_base_qe.ipynb b/pyiron_base_qe.ipynb
index 8ac7f09..7e059e7 100644
--- a/pyiron_base_qe.ipynb
+++ b/pyiron_base_qe.ipynb
@@ -1 +1,443 @@
-{"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.12.8"}},"nbformat_minor":5,"nbformat":4,"cells":[{"id":"be2d61b0-0d47-4349-b4b0-1b767c961644","cell_type":"markdown","source":"# pyiron","metadata":{}},{"id":"0bad2a57-1bd2-4837-94fe-f8c60e211fae","cell_type":"markdown","source":"## Define workflow with pyiron_base","metadata":{}},{"id":"a2ed2608-9e1b-4a81-81cb-5079573ea2d1","cell_type":"code","source":"import numpy as np\nfrom pyiron_base import Project, job\nfrom python_workflow_definition.pyiron_base import write_workflow_json","metadata":{"trusted":true},"outputs":[],"execution_count":1},{"id":"b75c2530-9b89-4185-838f-a17e517fa68f","cell_type":"code","source":"from quantum_espresso_workflow import (\n    calculate_qe as _calculate_qe, \n    generate_structures as _generate_structures, \n    get_bulk_structure as _get_bulk_structure, \n    plot_energy_volume_curve as _plot_energy_volume_curve,\n)","metadata":{"trusted":true},"outputs":[],"execution_count":2},{"id":"07a950ca","cell_type":"code","source":"workflow_json_filename = \"pyiron_base_qe.json\"","metadata":{"trusted":true},"outputs":[],"execution_count":3},{"id":"208ddfb8-dfda-4227-aa1f-3dc29e34ea82","cell_type":"code","source":"calculate_qe = job(_calculate_qe, output_key_lst=[\"energy\", \"volume\", \"structure\"])\ngenerate_structures = job(_generate_structures)\nplot_energy_volume_curve = job(_plot_energy_volume_curve)\nget_bulk_structure = job(_get_bulk_structure)","metadata":{"trusted":true},"outputs":[],"execution_count":4},{"id":"5071d3a0-7c1f-44c5-85e0-dede1566c10c","cell_type":"code","source":"pseudopotentials = {\"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"}","metadata":{"trusted":true},"outputs":[],"execution_count":5},{"id":"13debfcd-362d-4fd0-a91f-5ab33632fceb","cell_type":"code","source":"pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)","metadata":{"trusted":true},"outputs":[{"output_type":"display_data","data":{"text/plain":"0it [00:00, ?it/s]","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"bd19c5b3b046482682df56db7dd6fe54"}},"metadata":{}}],"execution_count":6},{"id":"1f1cb12f-4001-478d-8ea0-b369f4f2981a","cell_type":"code","source":"structure = get_bulk_structure(\n    element=\"Al\",\n    a=4.04,\n    cubic=True,\n    pyiron_project=pr,\n)","metadata":{"trusted":true},"outputs":[],"execution_count":7},{"id":"4140f07b-af54-41ef-be22-df6b5b53bf95","cell_type":"code","source":"calc_mini = calculate_qe(\n    working_directory=\"mini\",\n    input_dict={\n        \"structure\": structure,\n        \"pseudopotentials\": pseudopotentials,\n        \"kpts\": (3, 3, 3),\n        \"calculation\": \"vc-relax\",\n        \"smearing\": 0.02,\n    },\n    pyiron_project=pr,\n)","metadata":{"trusted":true},"outputs":[],"execution_count":8},{"id":"3c4dae11-8750-42d5-807c-cd19f2b65706","cell_type":"code","source":"number_of_strains = 5\nstructure_lst = generate_structures(  # the generate_structures() function is not available in the workflow graph\n    structure=calc_mini.output.structure,\n    strain_lst=np.linspace(0.9, 1.1, number_of_strains),\n    pyiron_project=pr,\n    list_length=number_of_strains,\n)","metadata":{"trusted":true},"outputs":[],"execution_count":9},{"id":"fdf3b62d-6cce-4312-8a5b-057224e36aca","cell_type":"code","source":"job_strain_lst = []\nfor i, structure_strain in enumerate(structure_lst):\n    calc_strain = calculate_qe(\n        working_directory=\"strain_\" + str(i),\n        input_dict={\n            \"structure\": structure_strain,\n            \"pseudopotentials\": pseudopotentials,\n            \"kpts\": (3, 3, 3),\n            \"calculation\": \"scf\",\n            \"smearing\": 0.02,\n        },\n        pyiron_project=pr,\n    )\n    job_strain_lst.append(calc_strain)","metadata":{"trusted":true},"outputs":[],"execution_count":10},{"id":"b2823306-0a8a-4ae6-bb1f-104e90e2fe41","cell_type":"code","source":"plot = plot_energy_volume_curve(\n    volume_lst=[job.output.volume for job in job_strain_lst],\n    energy_lst=[job.output.energy for job in job_strain_lst],\n    pyiron_project=pr,\n)","metadata":{"trusted":true},"outputs":[],"execution_count":11},{"id":"52646121-335f-48e6-bd5e-a1d69d00e8bc","cell_type":"code","source":"write_workflow_json(delayed_object=plot, file_name=workflow_json_filename)","metadata":{"trusted":true},"outputs":[],"execution_count":12},{"id":"72c8e6e6-8e60-4a4f-81f3-968b4b5f36ee","cell_type":"code","source":"!cat {workflow_json_filename}","metadata":{"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"{\"nodes\": [{\"id\": 0, \"function\": \"quantum_espresso_workflow.plot_energy_volume_curve\"}, {\"id\": 1, \"function\": \"python_workflow_definition.shared.get_list\"}, {\"id\": 2, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 3, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 4, \"function\": \"quantum_espresso_workflow.generate_structures\"}, {\"id\": 5, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 6, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 7, \"function\": \"quantum_espresso_workflow.get_bulk_structure\"}, {\"id\": 8, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 9, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 10, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 11, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 12, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 13, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 14, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 15, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 16, \"function\": \"python_workflow_definition.shared.get_list\"}, {\"id\": 17, \"value\": \"strain_0\"}, {\"id\": 18, \"value\": \"mini\"}, {\"id\": 19, \"value\": \"Al\"}, {\"id\": 20, \"value\": 4.04}, {\"id\": 21, \"value\": true}, {\"id\": 22, \"value\": {\"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"}}, {\"id\": 23, \"value\": [3, 3, 3]}, {\"id\": 24, \"value\": \"vc-relax\"}, {\"id\": 25, \"value\": 0.02}, {\"id\": 26, \"value\": [0.9, 0.9500000000000001, 1.0, 1.05, 1.1]}, {\"id\": 27, \"value\": \"scf\"}, {\"id\": 28, \"value\": \"strain_1\"}, {\"id\": 29, \"value\": \"strain_2\"}, {\"id\": 30, \"value\": \"strain_3\"}, {\"id\": 31, \"value\": \"strain_4\"}], \"edges\": [{\"target\": 0, \"targetPort\": \"volume_lst\", \"source\": 1, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"0\", \"source\": 2, \"sourcePort\": \"volume\"}, {\"target\": 2, \"targetPort\": \"working_directory\", \"source\": 17, \"sourcePort\": null}, {\"target\": 2, \"targetPort\": \"input_dict\", \"source\": 3, \"sourcePort\": null}, {\"target\": 3, \"targetPort\": \"structure\", \"source\": 4, \"sourcePort\": \"s_0\"}, {\"target\": 4, \"targetPort\": \"structure\", \"source\": 5, \"sourcePort\": \"structure\"}, {\"target\": 5, \"targetPort\": \"working_directory\", \"source\": 18, \"sourcePort\": null}, {\"target\": 5, \"targetPort\": \"input_dict\", \"source\": 6, \"sourcePort\": null}, {\"target\": 6, \"targetPort\": \"structure\", \"source\": 7, \"sourcePort\": null}, {\"target\": 7, \"targetPort\": \"element\", \"source\": 19, \"sourcePort\": null}, {\"target\": 7, \"targetPort\": \"a\", \"source\": 20, \"sourcePort\": null}, {\"target\": 7, \"targetPort\": \"cubic\", \"source\": 21, \"sourcePort\": null}, {\"target\": 6, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 6, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 6, \"targetPort\": \"calculation\", \"source\": 24, \"sourcePort\": null}, {\"target\": 6, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 4, \"targetPort\": \"strain_lst\", \"source\": 26, \"sourcePort\": null}, {\"target\": 3, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 3, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 3, \"targetPort\": \"calculation\", \"source\": 27, \"sourcePort\": null}, {\"target\": 3, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"1\", \"source\": 8, \"sourcePort\": \"volume\"}, {\"target\": 8, \"targetPort\": \"working_directory\", \"source\": 28, \"sourcePort\": null}, {\"target\": 8, \"targetPort\": \"input_dict\", \"source\": 9, \"sourcePort\": null}, {\"target\": 9, \"targetPort\": \"structure\", \"source\": 4, \"sourcePort\": \"s_1\"}, {\"target\": 9, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 9, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 9, \"targetPort\": \"calculation\", \"source\": 27, \"sourcePort\": null}, {\"target\": 9, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"2\", \"source\": 10, \"sourcePort\": \"volume\"}, {\"target\": 10, \"targetPort\": \"working_directory\", \"source\": 29, \"sourcePort\": null}, {\"target\": 10, \"targetPort\": \"input_dict\", \"source\": 11, \"sourcePort\": null}, {\"target\": 11, \"targetPort\": \"structure\", \"source\": 4, \"sourcePort\": \"s_2\"}, {\"target\": 11, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 11, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 11, \"targetPort\": \"calculation\", \"source\": 27, \"sourcePort\": null}, {\"target\": 11, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"3\", \"source\": 12, \"sourcePort\": \"volume\"}, {\"target\": 12, \"targetPort\": \"working_directory\", \"source\": 30, \"sourcePort\": null}, {\"target\": 12, \"targetPort\": \"input_dict\", \"source\": 13, \"sourcePort\": null}, {\"target\": 13, \"targetPort\": \"structure\", \"source\": 4, \"sourcePort\": \"s_3\"}, {\"target\": 13, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 13, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 13, \"targetPort\": \"calculation\", \"source\": 27, \"sourcePort\": null}, {\"target\": 13, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"4\", \"source\": 14, \"sourcePort\": \"volume\"}, {\"target\": 14, \"targetPort\": \"working_directory\", \"source\": 31, \"sourcePort\": null}, {\"target\": 14, \"targetPort\": \"input_dict\", \"source\": 15, \"sourcePort\": null}, {\"target\": 15, \"targetPort\": \"structure\", \"source\": 4, \"sourcePort\": \"s_4\"}, {\"target\": 15, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 15, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 15, \"targetPort\": \"calculation\", \"source\": 27, \"sourcePort\": null}, {\"target\": 15, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 0, \"targetPort\": \"energy_lst\", \"source\": 16, \"sourcePort\": null}, {\"target\": 16, \"targetPort\": \"0\", \"source\": 2, \"sourcePort\": \"energy\"}, {\"target\": 16, \"targetPort\": \"1\", \"source\": 8, \"sourcePort\": \"energy\"}, {\"target\": 16, \"targetPort\": \"2\", \"source\": 10, \"sourcePort\": \"energy\"}, {\"target\": 16, \"targetPort\": \"3\", \"source\": 12, \"sourcePort\": \"energy\"}, {\"target\": 16, \"targetPort\": \"4\", \"source\": 14, \"sourcePort\": \"energy\"}]}"}],"execution_count":13},{"id":"7d75a2f6-6fad-49c8-bd29-37cca1b84441","cell_type":"markdown","source":"## Load Workflow with aiida","metadata":{}},{"id":"28760464-2a2c-40c2-9451-20713da2ba2c","cell_type":"code","source":"from aiida import orm, load_profile\n\nload_profile()","metadata":{"trusted":true},"outputs":[{"execution_count":14,"output_type":"execute_result","data":{"text/plain":"Profile<uuid='5cf1546d55c84c44bae6a645cdcd021e' name='pwd'>"},"metadata":{}}],"execution_count":14},{"id":"a442fe46-057c-469b-a5e0-173ed4829dfb","cell_type":"code","source":"from python_workflow_definition.aiida import load_workflow_json","metadata":{"trusted":true},"outputs":[],"execution_count":15},{"id":"32fcd4b2-4f0a-442d-b098-827672823796","cell_type":"code","source":"wg = load_workflow_json(file_name=workflow_json_filename)","metadata":{"trusted":true},"outputs":[],"execution_count":16},{"id":"d81a4fb5-a674-41a9-ac19-24c56f952468","cell_type":"code","source":"wg.nodes.get_bulk_structure8.inputs.a.value = orm.Float(4.05)","metadata":{"trusted":true},"outputs":[],"execution_count":17},{"id":"a80b59bd-fe30-49c6-92ca-35ef2d77a6fb","cell_type":"code","source":"wg.run()","metadata":{"trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":"04/13/2025 02:52:30 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_bulk_structure8\n04/13/2025 02:52:30 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_bulk_structure8, type: PyFunction, finished.\n04/13/2025 02:52:30 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict7\n04/13/2025 02:52:31 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict7, type: PyFunction, finished.\n04/13/2025 02:52:31 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe6\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02278] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:53:25 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['energy', 'volume'])\n04/13/2025 02:53:26 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe6, type: PyFunction, finished.\n04/13/2025 02:53:26 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: generate_structures5\n04/13/2025 02:53:27 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: generate_structures5, type: PyFunction, finished.\n04/13/2025 02:53:27 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict4,get_dict10,get_dict12,get_dict14,get_dict16\n04/13/2025 02:53:28 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict4, type: PyFunction, finished.\n04/13/2025 02:53:28 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe3,get_dict10,get_dict12,get_dict14,get_dict16\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02295] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:53:39 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n04/13/2025 02:53:39 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe3, type: PyFunction, finished.\n04/13/2025 02:53:39 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict10,get_dict12,get_dict14,get_dict16\n04/13/2025 02:53:39 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict10, type: PyFunction, finished.\n04/13/2025 02:53:40 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe9,get_dict12,get_dict14,get_dict16\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02305] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:53:52 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n04/13/2025 02:53:52 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe9, type: PyFunction, finished.\n04/13/2025 02:53:52 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict12,get_dict14,get_dict16\n04/13/2025 02:53:53 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict12, type: PyFunction, finished.\n04/13/2025 02:53:53 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe11,get_dict14,get_dict16\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02319] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:54:06 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n04/13/2025 02:54:07 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe11, type: PyFunction, finished.\n04/13/2025 02:54:07 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict14,get_dict16\n04/13/2025 02:54:07 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict14, type: PyFunction, finished.\n04/13/2025 02:54:07 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe13,get_dict16\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02329] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:54:22 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n04/13/2025 02:54:22 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe13, type: PyFunction, finished.\n04/13/2025 02:54:22 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict16\n04/13/2025 02:54:23 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict16, type: PyFunction, finished.\n04/13/2025 02:54:23 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe15\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02339] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:54:38 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n04/13/2025 02:54:38 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe15, type: PyFunction, finished.\n04/13/2025 02:54:39 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_list2,get_list17\n04/13/2025 02:54:40 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_list2, type: PyFunction, finished.\n04/13/2025 02:54:40 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_list17\n04/13/2025 02:54:40 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_list17, type: PyFunction, finished.\n04/13/2025 02:54:40 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: plot_energy_volume_curve1\n04/13/2025 02:54:41 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: plot_energy_volume_curve1, type: PyFunction, finished.\n04/13/2025 02:54:41 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n04/13/2025 02:54:41 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|finalize]: Finalize workgraph.\n"},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 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"},"metadata":{}}],"execution_count":18},{"id":"c4f5c047-c6da-4b54-9007-415faca7a448","cell_type":"markdown","source":"## Load Workflow with jobflow","metadata":{}},{"id":"b8e3c2ca-2672-4e9d-aada-63344842dbcf","cell_type":"code","source":"from python_workflow_definition.jobflow import load_workflow_json","metadata":{"trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":"/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"cipher\": algorithms.TripleDES,\n/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"class\": algorithms.TripleDES,\n"}],"execution_count":19},{"id":"54a24ff6c569094e","cell_type":"code","source":"from jobflow.managers.local import run_locally","metadata":{"trusted":true},"outputs":[],"execution_count":20},{"id":"48a27146-7372-40ab-8b02-e2a9283d4748","cell_type":"code","source":"flow = load_workflow_json(file_name=workflow_json_filename)","metadata":{"trusted":true},"outputs":[],"execution_count":21},{"id":"bf84ef10-e1af-475f-a457-d2703c7276a0","cell_type":"code","source":"flow[0].function_kwargs[\"a\"] = 4.05","metadata":{"trusted":true},"outputs":[],"execution_count":22},{"id":"98fa5694-2cc6-44e9-a6e7-2cc71b4f48ce","cell_type":"code","source":"result = run_locally(flow)\nresult","metadata":{"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"2025-04-13 14:54:43,509 INFO Started executing jobs locally\n2025-04-13 14:54:43,853 INFO Starting job - get_bulk_structure (b539c72a-4b30-49b3-ad0e-3f98e417ccbd)\n2025-04-13 14:54:43,856 INFO Finished job - get_bulk_structure (b539c72a-4b30-49b3-ad0e-3f98e417ccbd)\n2025-04-13 14:54:43,857 INFO Starting job - get_dict (d5e5eb38-56a0-41ce-90f4-731ddb0ebe83)\n2025-04-13 14:54:43,859 INFO Finished job - get_dict (d5e5eb38-56a0-41ce-90f4-731ddb0ebe83)\n2025-04-13 14:54:43,860 INFO Starting job - calculate_qe (f06c0cc5-9dbf-4eda-a091-bf4d7e11f64a)\n"},{"name":"stderr","output_type":"stream","text":"[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02349] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"},{"name":"stdout","output_type":"stream","text":"2025-04-13 14:55:34,991 INFO Finished job - calculate_qe (f06c0cc5-9dbf-4eda-a091-bf4d7e11f64a)\n2025-04-13 14:55:34,992 INFO Starting job - generate_structures (0dafc996-0db5-416c-b1a5-a2a0c683cffb)\n2025-04-13 14:55:34,998 INFO Finished job - generate_structures (0dafc996-0db5-416c-b1a5-a2a0c683cffb)\n2025-04-13 14:55:34,999 INFO Starting job - get_dict (572d64fe-7c4f-4ee8-a7c9-9091a724e80a)\n2025-04-13 14:55:35,000 INFO Finished job - get_dict (572d64fe-7c4f-4ee8-a7c9-9091a724e80a)\n2025-04-13 14:55:35,001 INFO Starting job - get_dict (95a99bf5-bbbb-4895-98d2-3a0ed81297b0)\n2025-04-13 14:55:35,003 INFO Finished job - get_dict (95a99bf5-bbbb-4895-98d2-3a0ed81297b0)\n2025-04-13 14:55:35,004 INFO Starting job - get_dict (e7865d4c-2b74-40ca-9aee-84f40ec1a8de)\n2025-04-13 14:55:35,005 INFO Finished job - get_dict (e7865d4c-2b74-40ca-9aee-84f40ec1a8de)\n2025-04-13 14:55:35,006 INFO Starting job - get_dict (90c676c5-ae8d-43c1-be2b-4f9e97f6042f)\n2025-04-13 14:55:35,008 INFO Finished job - get_dict (90c676c5-ae8d-43c1-be2b-4f9e97f6042f)\n2025-04-13 14:55:35,008 INFO Starting job - get_dict (c89043d4-6a6e-4cd2-9d88-dbc933935a6b)\n2025-04-13 14:55:35,010 INFO Finished job - get_dict (c89043d4-6a6e-4cd2-9d88-dbc933935a6b)\n2025-04-13 14:55:35,011 INFO Starting job - calculate_qe (3c6a5746-2d26-49b2-a232-06d7329860e3)\n"},{"name":"stderr","output_type":"stream","text":"Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02372] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"},{"name":"stdout","output_type":"stream","text":"2025-04-13 14:55:45,865 INFO Finished job - calculate_qe (3c6a5746-2d26-49b2-a232-06d7329860e3)\n2025-04-13 14:55:45,866 INFO Starting job - calculate_qe (4a4d8ad4-8a06-4c5a-98f7-c337e893b82b)\n"},{"name":"stderr","output_type":"stream","text":"Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02382] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"},{"name":"stdout","output_type":"stream","text":"2025-04-13 14:55:57,687 INFO Finished job - calculate_qe (4a4d8ad4-8a06-4c5a-98f7-c337e893b82b)\n2025-04-13 14:55:57,688 INFO Starting job - calculate_qe (95eb9064-db31-4fda-82dc-ec452c848a3d)\n"},{"name":"stderr","output_type":"stream","text":"Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02392] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"},{"name":"stdout","output_type":"stream","text":"2025-04-13 14:56:12,320 INFO Finished job - calculate_qe (95eb9064-db31-4fda-82dc-ec452c848a3d)\n2025-04-13 14:56:12,320 INFO Starting job - calculate_qe (d924dc91-3c5c-4d6a-a95f-f24293834429)\n"},{"name":"stderr","output_type":"stream","text":"Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02403] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"},{"name":"stdout","output_type":"stream","text":"2025-04-13 14:56:27,407 INFO Finished job - calculate_qe (d924dc91-3c5c-4d6a-a95f-f24293834429)\n2025-04-13 14:56:27,408 INFO Starting job - calculate_qe (d444f3e6-e883-4acb-82be-d5663a44fc5a)\n"},{"name":"stderr","output_type":"stream","text":"Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02414] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"},{"name":"stdout","output_type":"stream","text":"2025-04-13 14:56:38,305 INFO Finished job - calculate_qe (d444f3e6-e883-4acb-82be-d5663a44fc5a)\n2025-04-13 14:56:38,306 INFO Starting job - get_list (9aac61bc-87dc-4d58-94d7-37b5523a8275)\n2025-04-13 14:56:38,309 INFO Finished job - get_list (9aac61bc-87dc-4d58-94d7-37b5523a8275)\n2025-04-13 14:56:38,309 INFO Starting job - get_list (165bee7d-2eb6-4389-b463-75546b773365)\n2025-04-13 14:56:38,312 INFO Finished job - get_list (165bee7d-2eb6-4389-b463-75546b773365)\n2025-04-13 14:56:38,313 INFO Starting job - plot_energy_volume_curve (f0555e9f-815f-489a-9a8e-d0a2f413778c)\n"},{"name":"stderr","output_type":"stream","text":"Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"},{"name":"stdout","output_type":"stream","text":"2025-04-13 14:56:38,367 INFO Finished job - plot_energy_volume_curve (f0555e9f-815f-489a-9a8e-d0a2f413778c)\n2025-04-13 14:56:38,368 INFO Finished executing jobs locally\n"},{"execution_count":23,"output_type":"execute_result","data":{"text/plain":"{'b539c72a-4b30-49b3-ad0e-3f98e417ccbd': {1: Response(output='{\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, 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"},"metadata":{}}],"execution_count":23}]}
\ No newline at end of file
+{
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.8"
+  }
+ },
+ "nbformat_minor": 5,
+ "nbformat": 4,
+ "cells": [
+  {
+   "id": "be2d61b0-0d47-4349-b4b0-1b767c961644",
+   "cell_type": "markdown",
+   "source": "# pyiron",
+   "metadata": {}
+  },
+  {
+   "id": "0bad2a57-1bd2-4837-94fe-f8c60e211fae",
+   "cell_type": "markdown",
+   "source": "## Define workflow with pyiron_base",
+   "metadata": {}
+  },
+  {
+   "id": "a2ed2608-9e1b-4a81-81cb-5079573ea2d1",
+   "cell_type": "code",
+   "source": [
+    "import numpy as np\n",
+    "from pyiron_base import job\n",
+    "from python_workflow_definition.pyiron_base import write_workflow_json"
+   ],
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 1
+  },
+  {
+   "id": "b75c2530-9b89-4185-838f-a17e517fa68f",
+   "cell_type": "code",
+   "source": "from quantum_espresso_workflow import (\n    calculate_qe as _calculate_qe, \n    generate_structures as _generate_structures, \n    get_bulk_structure as _get_bulk_structure, \n    plot_energy_volume_curve as _plot_energy_volume_curve,\n)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 2
+  },
+  {
+   "id": "07a950ca",
+   "cell_type": "code",
+   "source": "workflow_json_filename = \"pyiron_base_qe.json\"",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 3
+  },
+  {
+   "id": "208ddfb8-dfda-4227-aa1f-3dc29e34ea82",
+   "cell_type": "code",
+   "source": "calculate_qe = job(_calculate_qe, output_key_lst=[\"energy\", \"volume\", \"structure\"])\ngenerate_structures = job(_generate_structures)\nplot_energy_volume_curve = job(_plot_energy_volume_curve)\nget_bulk_structure = job(_get_bulk_structure)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 4
+  },
+  {
+   "id": "5071d3a0-7c1f-44c5-85e0-dede1566c10c",
+   "cell_type": "code",
+   "source": "pseudopotentials = {\"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"}",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 5
+  },
+  {
+   "id": "1f1cb12f-4001-478d-8ea0-b369f4f2981a",
+   "cell_type": "code",
+   "source": [
+    "structure = get_bulk_structure(\n",
+    "    element=\"Al\",\n",
+    "    a=4.04,\n",
+    "    cubic=True,\n",
+    ")"
+   ],
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 7
+  },
+  {
+   "id": "4140f07b-af54-41ef-be22-df6b5b53bf95",
+   "cell_type": "code",
+   "source": [
+    "calc_mini = calculate_qe(\n",
+    "    working_directory=\"mini\",\n",
+    "    input_dict={\n",
+    "        \"structure\": structure,\n",
+    "        \"pseudopotentials\": pseudopotentials,\n",
+    "        \"kpts\": (3, 3, 3),\n",
+    "        \"calculation\": \"vc-relax\",\n",
+    "        \"smearing\": 0.02,\n",
+    "    },\n",
+    ")"
+   ],
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 8
+  },
+  {
+   "id": "3c4dae11-8750-42d5-807c-cd19f2b65706",
+   "cell_type": "code",
+   "source": [
+    "number_of_strains = 5\n",
+    "structure_lst = generate_structures(  # the generate_structures() function is not available in the workflow graph\n",
+    "    structure=calc_mini.output.structure,\n",
+    "    strain_lst=np.linspace(0.9, 1.1, number_of_strains),\n",
+    "    list_length=number_of_strains,\n",
+    ")"
+   ],
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 9
+  },
+  {
+   "id": "fdf3b62d-6cce-4312-8a5b-057224e36aca",
+   "cell_type": "code",
+   "source": [
+    "job_strain_lst = []\n",
+    "for i, structure_strain in enumerate(structure_lst):\n",
+    "    calc_strain = calculate_qe(\n",
+    "        working_directory=\"strain_\" + str(i),\n",
+    "        input_dict={\n",
+    "            \"structure\": structure_strain,\n",
+    "            \"pseudopotentials\": pseudopotentials,\n",
+    "            \"kpts\": (3, 3, 3),\n",
+    "            \"calculation\": \"scf\",\n",
+    "            \"smearing\": 0.02,\n",
+    "        },\n",
+    "    )\n",
+    "    job_strain_lst.append(calc_strain)"
+   ],
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 10
+  },
+  {
+   "id": "b2823306-0a8a-4ae6-bb1f-104e90e2fe41",
+   "cell_type": "code",
+   "source": [
+    "plot = plot_energy_volume_curve(\n",
+    "    volume_lst=[job.output.volume for job in job_strain_lst],\n",
+    "    energy_lst=[job.output.energy for job in job_strain_lst],\n",
+    ")"
+   ],
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 11
+  },
+  {
+   "id": "52646121-335f-48e6-bd5e-a1d69d00e8bc",
+   "cell_type": "code",
+   "source": "write_workflow_json(delayed_object=plot, file_name=workflow_json_filename)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 12
+  },
+  {
+   "id": "72c8e6e6-8e60-4a4f-81f3-968b4b5f36ee",
+   "cell_type": "code",
+   "source": "!cat {workflow_json_filename}",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "{\"nodes\": [{\"id\": 0, \"function\": \"quantum_espresso_workflow.plot_energy_volume_curve\"}, {\"id\": 1, \"function\": \"python_workflow_definition.shared.get_list\"}, {\"id\": 2, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 3, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 4, \"function\": \"quantum_espresso_workflow.generate_structures\"}, {\"id\": 5, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 6, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 7, \"function\": \"quantum_espresso_workflow.get_bulk_structure\"}, {\"id\": 8, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 9, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 10, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 11, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 12, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 13, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 14, \"function\": \"quantum_espresso_workflow.calculate_qe\"}, {\"id\": 15, \"function\": \"python_workflow_definition.shared.get_dict\"}, {\"id\": 16, \"function\": \"python_workflow_definition.shared.get_list\"}, {\"id\": 17, \"value\": \"strain_0\"}, {\"id\": 18, \"value\": \"mini\"}, {\"id\": 19, \"value\": \"Al\"}, {\"id\": 20, \"value\": 4.04}, {\"id\": 21, \"value\": true}, {\"id\": 22, \"value\": {\"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"}}, {\"id\": 23, \"value\": [3, 3, 3]}, {\"id\": 24, \"value\": \"vc-relax\"}, {\"id\": 25, \"value\": 0.02}, {\"id\": 26, \"value\": [0.9, 0.9500000000000001, 1.0, 1.05, 1.1]}, {\"id\": 27, \"value\": \"scf\"}, {\"id\": 28, \"value\": \"strain_1\"}, {\"id\": 29, \"value\": \"strain_2\"}, {\"id\": 30, \"value\": \"strain_3\"}, {\"id\": 31, \"value\": \"strain_4\"}], \"edges\": [{\"target\": 0, \"targetPort\": \"volume_lst\", \"source\": 1, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"0\", \"source\": 2, \"sourcePort\": \"volume\"}, {\"target\": 2, \"targetPort\": \"working_directory\", \"source\": 17, \"sourcePort\": null}, {\"target\": 2, \"targetPort\": \"input_dict\", \"source\": 3, \"sourcePort\": null}, {\"target\": 3, \"targetPort\": \"structure\", \"source\": 4, \"sourcePort\": \"s_0\"}, {\"target\": 4, \"targetPort\": \"structure\", \"source\": 5, \"sourcePort\": \"structure\"}, {\"target\": 5, \"targetPort\": \"working_directory\", \"source\": 18, \"sourcePort\": null}, {\"target\": 5, \"targetPort\": \"input_dict\", \"source\": 6, \"sourcePort\": null}, {\"target\": 6, \"targetPort\": \"structure\", \"source\": 7, \"sourcePort\": null}, {\"target\": 7, \"targetPort\": \"element\", \"source\": 19, \"sourcePort\": null}, {\"target\": 7, \"targetPort\": \"a\", \"source\": 20, \"sourcePort\": null}, {\"target\": 7, \"targetPort\": \"cubic\", \"source\": 21, \"sourcePort\": null}, {\"target\": 6, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 6, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 6, \"targetPort\": \"calculation\", \"source\": 24, \"sourcePort\": null}, {\"target\": 6, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 4, \"targetPort\": \"strain_lst\", \"source\": 26, \"sourcePort\": null}, {\"target\": 3, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 3, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 3, \"targetPort\": \"calculation\", \"source\": 27, \"sourcePort\": null}, {\"target\": 3, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"1\", \"source\": 8, \"sourcePort\": \"volume\"}, {\"target\": 8, \"targetPort\": \"working_directory\", \"source\": 28, \"sourcePort\": null}, {\"target\": 8, \"targetPort\": \"input_dict\", \"source\": 9, \"sourcePort\": null}, {\"target\": 9, \"targetPort\": \"structure\", \"source\": 4, \"sourcePort\": \"s_1\"}, {\"target\": 9, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 9, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 9, \"targetPort\": \"calculation\", \"source\": 27, \"sourcePort\": null}, {\"target\": 9, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"2\", \"source\": 10, \"sourcePort\": \"volume\"}, {\"target\": 10, \"targetPort\": \"working_directory\", \"source\": 29, \"sourcePort\": null}, {\"target\": 10, \"targetPort\": \"input_dict\", \"source\": 11, \"sourcePort\": null}, {\"target\": 11, \"targetPort\": \"structure\", \"source\": 4, \"sourcePort\": \"s_2\"}, {\"target\": 11, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 11, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 11, \"targetPort\": \"calculation\", \"source\": 27, \"sourcePort\": null}, {\"target\": 11, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"3\", \"source\": 12, \"sourcePort\": \"volume\"}, {\"target\": 12, \"targetPort\": \"working_directory\", \"source\": 30, \"sourcePort\": null}, {\"target\": 12, \"targetPort\": \"input_dict\", \"source\": 13, \"sourcePort\": null}, {\"target\": 13, \"targetPort\": \"structure\", \"source\": 4, \"sourcePort\": \"s_3\"}, {\"target\": 13, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 13, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 13, \"targetPort\": \"calculation\", \"source\": 27, \"sourcePort\": null}, {\"target\": 13, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"4\", \"source\": 14, \"sourcePort\": \"volume\"}, {\"target\": 14, \"targetPort\": \"working_directory\", \"source\": 31, \"sourcePort\": null}, {\"target\": 14, \"targetPort\": \"input_dict\", \"source\": 15, \"sourcePort\": null}, {\"target\": 15, \"targetPort\": \"structure\", \"source\": 4, \"sourcePort\": \"s_4\"}, {\"target\": 15, \"targetPort\": \"pseudopotentials\", \"source\": 22, \"sourcePort\": null}, {\"target\": 15, \"targetPort\": \"kpts\", \"source\": 23, \"sourcePort\": null}, {\"target\": 15, \"targetPort\": \"calculation\", \"source\": 27, \"sourcePort\": null}, {\"target\": 15, \"targetPort\": \"smearing\", \"source\": 25, \"sourcePort\": null}, {\"target\": 0, \"targetPort\": \"energy_lst\", \"source\": 16, \"sourcePort\": null}, {\"target\": 16, \"targetPort\": \"0\", \"source\": 2, \"sourcePort\": \"energy\"}, {\"target\": 16, \"targetPort\": \"1\", \"source\": 8, \"sourcePort\": \"energy\"}, {\"target\": 16, \"targetPort\": \"2\", \"source\": 10, \"sourcePort\": \"energy\"}, {\"target\": 16, \"targetPort\": \"3\", \"source\": 12, \"sourcePort\": \"energy\"}, {\"target\": 16, \"targetPort\": \"4\", \"source\": 14, \"sourcePort\": \"energy\"}]}"
+    }
+   ],
+   "execution_count": 13
+  },
+  {
+   "id": "7d75a2f6-6fad-49c8-bd29-37cca1b84441",
+   "cell_type": "markdown",
+   "source": "## Load Workflow with aiida",
+   "metadata": {}
+  },
+  {
+   "id": "28760464-2a2c-40c2-9451-20713da2ba2c",
+   "cell_type": "code",
+   "source": "from aiida import orm, load_profile\n\nload_profile()",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "execution_count": 14,
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "Profile<uuid='5cf1546d55c84c44bae6a645cdcd021e' name='pwd'>"
+     },
+     "metadata": {}
+    }
+   ],
+   "execution_count": 14
+  },
+  {
+   "id": "a442fe46-057c-469b-a5e0-173ed4829dfb",
+   "cell_type": "code",
+   "source": "from python_workflow_definition.aiida import load_workflow_json",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 15
+  },
+  {
+   "id": "32fcd4b2-4f0a-442d-b098-827672823796",
+   "cell_type": "code",
+   "source": "wg = load_workflow_json(file_name=workflow_json_filename)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 16
+  },
+  {
+   "id": "d81a4fb5-a674-41a9-ac19-24c56f952468",
+   "cell_type": "code",
+   "source": "wg.nodes.get_bulk_structure8.inputs.a.value = orm.Float(4.05)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 17
+  },
+  {
+   "id": "a80b59bd-fe30-49c6-92ca-35ef2d77a6fb",
+   "cell_type": "code",
+   "source": "wg.run()",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "04/13/2025 02:52:30 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_bulk_structure8\n04/13/2025 02:52:30 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_bulk_structure8, type: PyFunction, finished.\n04/13/2025 02:52:30 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict7\n04/13/2025 02:52:31 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict7, type: PyFunction, finished.\n04/13/2025 02:52:31 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe6\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02278] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:53:25 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['energy', 'volume'])\n04/13/2025 02:53:26 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe6, type: PyFunction, finished.\n04/13/2025 02:53:26 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: generate_structures5\n04/13/2025 02:53:27 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: generate_structures5, type: PyFunction, finished.\n04/13/2025 02:53:27 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict4,get_dict10,get_dict12,get_dict14,get_dict16\n04/13/2025 02:53:28 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict4, type: PyFunction, finished.\n04/13/2025 02:53:28 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe3,get_dict10,get_dict12,get_dict14,get_dict16\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02295] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:53:39 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n04/13/2025 02:53:39 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe3, type: PyFunction, finished.\n04/13/2025 02:53:39 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict10,get_dict12,get_dict14,get_dict16\n04/13/2025 02:53:39 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict10, type: PyFunction, finished.\n04/13/2025 02:53:40 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe9,get_dict12,get_dict14,get_dict16\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02305] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:53:52 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n04/13/2025 02:53:52 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe9, type: PyFunction, finished.\n04/13/2025 02:53:52 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict12,get_dict14,get_dict16\n04/13/2025 02:53:53 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict12, type: PyFunction, finished.\n04/13/2025 02:53:53 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe11,get_dict14,get_dict16\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02319] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:54:06 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n04/13/2025 02:54:07 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe11, type: PyFunction, finished.\n04/13/2025 02:54:07 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict14,get_dict16\n04/13/2025 02:54:07 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict14, type: PyFunction, finished.\n04/13/2025 02:54:07 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe13,get_dict16\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02329] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:54:22 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n04/13/2025 02:54:22 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe13, type: PyFunction, finished.\n04/13/2025 02:54:22 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict16\n04/13/2025 02:54:23 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_dict16, type: PyFunction, finished.\n04/13/2025 02:54:23 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe15\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02339] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\nNote: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n04/13/2025 02:54:38 PM <2189> aiida.orm.nodes.process.calculation.calcfunction.CalcFunctionNode: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n04/13/2025 02:54:38 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: calculate_qe15, type: PyFunction, finished.\n04/13/2025 02:54:39 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_list2,get_list17\n04/13/2025 02:54:40 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_list2, type: PyFunction, finished.\n04/13/2025 02:54:40 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_list17\n04/13/2025 02:54:40 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: get_list17, type: PyFunction, finished.\n04/13/2025 02:54:40 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: plot_energy_volume_curve1\n04/13/2025 02:54:41 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|update_task_state]: Task: plot_energy_volume_curve1, type: PyFunction, finished.\n04/13/2025 02:54:41 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n04/13/2025 02:54:41 PM <2189> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [370|WorkGraphEngine|finalize]: Finalize workgraph.\n"
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {}
+    }
+   ],
+   "execution_count": 18
+  },
+  {
+   "id": "c4f5c047-c6da-4b54-9007-415faca7a448",
+   "cell_type": "markdown",
+   "source": "## Load Workflow with jobflow",
+   "metadata": {}
+  },
+  {
+   "id": "b8e3c2ca-2672-4e9d-aada-63344842dbcf",
+   "cell_type": "code",
+   "source": "from python_workflow_definition.jobflow import load_workflow_json",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"cipher\": algorithms.TripleDES,\n/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"class\": algorithms.TripleDES,\n"
+    }
+   ],
+   "execution_count": 19
+  },
+  {
+   "id": "54a24ff6c569094e",
+   "cell_type": "code",
+   "source": "from jobflow.managers.local import run_locally",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 20
+  },
+  {
+   "id": "48a27146-7372-40ab-8b02-e2a9283d4748",
+   "cell_type": "code",
+   "source": "flow = load_workflow_json(file_name=workflow_json_filename)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 21
+  },
+  {
+   "id": "bf84ef10-e1af-475f-a457-d2703c7276a0",
+   "cell_type": "code",
+   "source": "flow[0].function_kwargs[\"a\"] = 4.05",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 22
+  },
+  {
+   "id": "98fa5694-2cc6-44e9-a6e7-2cc71b4f48ce",
+   "cell_type": "code",
+   "source": "result = run_locally(flow)\nresult",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "2025-04-13 14:54:43,509 INFO Started executing jobs locally\n2025-04-13 14:54:43,853 INFO Starting job - get_bulk_structure (b539c72a-4b30-49b3-ad0e-3f98e417ccbd)\n2025-04-13 14:54:43,856 INFO Finished job - get_bulk_structure (b539c72a-4b30-49b3-ad0e-3f98e417ccbd)\n2025-04-13 14:54:43,857 INFO Starting job - get_dict (d5e5eb38-56a0-41ce-90f4-731ddb0ebe83)\n2025-04-13 14:54:43,859 INFO Finished job - get_dict (d5e5eb38-56a0-41ce-90f4-731ddb0ebe83)\n2025-04-13 14:54:43,860 INFO Starting job - calculate_qe (f06c0cc5-9dbf-4eda-a091-bf4d7e11f64a)\n"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02349] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "2025-04-13 14:55:34,991 INFO Finished job - calculate_qe (f06c0cc5-9dbf-4eda-a091-bf4d7e11f64a)\n2025-04-13 14:55:34,992 INFO Starting job - generate_structures (0dafc996-0db5-416c-b1a5-a2a0c683cffb)\n2025-04-13 14:55:34,998 INFO Finished job - generate_structures (0dafc996-0db5-416c-b1a5-a2a0c683cffb)\n2025-04-13 14:55:34,999 INFO Starting job - get_dict (572d64fe-7c4f-4ee8-a7c9-9091a724e80a)\n2025-04-13 14:55:35,000 INFO Finished job - get_dict (572d64fe-7c4f-4ee8-a7c9-9091a724e80a)\n2025-04-13 14:55:35,001 INFO Starting job - get_dict (95a99bf5-bbbb-4895-98d2-3a0ed81297b0)\n2025-04-13 14:55:35,003 INFO Finished job - get_dict (95a99bf5-bbbb-4895-98d2-3a0ed81297b0)\n2025-04-13 14:55:35,004 INFO Starting job - get_dict (e7865d4c-2b74-40ca-9aee-84f40ec1a8de)\n2025-04-13 14:55:35,005 INFO Finished job - get_dict (e7865d4c-2b74-40ca-9aee-84f40ec1a8de)\n2025-04-13 14:55:35,006 INFO Starting job - get_dict (90c676c5-ae8d-43c1-be2b-4f9e97f6042f)\n2025-04-13 14:55:35,008 INFO Finished job - get_dict (90c676c5-ae8d-43c1-be2b-4f9e97f6042f)\n2025-04-13 14:55:35,008 INFO Starting job - get_dict (c89043d4-6a6e-4cd2-9d88-dbc933935a6b)\n2025-04-13 14:55:35,010 INFO Finished job - get_dict (c89043d4-6a6e-4cd2-9d88-dbc933935a6b)\n2025-04-13 14:55:35,011 INFO Starting job - calculate_qe (3c6a5746-2d26-49b2-a232-06d7329860e3)\n"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02372] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "2025-04-13 14:55:45,865 INFO Finished job - calculate_qe (3c6a5746-2d26-49b2-a232-06d7329860e3)\n2025-04-13 14:55:45,866 INFO Starting job - calculate_qe (4a4d8ad4-8a06-4c5a-98f7-c337e893b82b)\n"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02382] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "2025-04-13 14:55:57,687 INFO Finished job - calculate_qe (4a4d8ad4-8a06-4c5a-98f7-c337e893b82b)\n2025-04-13 14:55:57,688 INFO Starting job - calculate_qe (95eb9064-db31-4fda-82dc-ec452c848a3d)\n"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02392] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "2025-04-13 14:56:12,320 INFO Finished job - calculate_qe (95eb9064-db31-4fda-82dc-ec452c848a3d)\n2025-04-13 14:56:12,320 INFO Starting job - calculate_qe (d924dc91-3c5c-4d6a-a95f-f24293834429)\n"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02403] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "2025-04-13 14:56:27,407 INFO Finished job - calculate_qe (d924dc91-3c5c-4d6a-a95f-f24293834429)\n2025-04-13 14:56:27,408 INFO Starting job - calculate_qe (d444f3e6-e883-4acb-82be-d5663a44fc5a)\n"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n[jupyter-pyiron-dev-pyth-flow-definition-32jomliz:02414] mca_base_component_repository_open: unable to open mca_btl_openib: librdmacm.so.1: cannot open shared object file: No such file or directory (ignored)\n"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "2025-04-13 14:56:38,305 INFO Finished job - calculate_qe (d444f3e6-e883-4acb-82be-d5663a44fc5a)\n2025-04-13 14:56:38,306 INFO Starting job - get_list (9aac61bc-87dc-4d58-94d7-37b5523a8275)\n2025-04-13 14:56:38,309 INFO Finished job - get_list (9aac61bc-87dc-4d58-94d7-37b5523a8275)\n2025-04-13 14:56:38,309 INFO Starting job - get_list (165bee7d-2eb6-4389-b463-75546b773365)\n2025-04-13 14:56:38,312 INFO Finished job - get_list (165bee7d-2eb6-4389-b463-75546b773365)\n2025-04-13 14:56:38,313 INFO Starting job - plot_energy_volume_curve (f0555e9f-815f-489a-9a8e-d0a2f413778c)\n"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "2025-04-13 14:56:38,367 INFO Finished job - plot_energy_volume_curve (f0555e9f-815f-489a-9a8e-d0a2f413778c)\n2025-04-13 14:56:38,368 INFO Finished executing jobs locally\n"
+    },
+    {
+     "execution_count": 23,
+     "output_type": "execute_result",
+     "data": {
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"
+     },
+     "metadata": {}
+    }
+   ],
+   "execution_count": 23
+  }
+ ]
+}
diff --git a/pyiron_base_simple.ipynb b/pyiron_base_simple.ipynb
index 4668290..f4c6f7d 100644
--- a/pyiron_base_simple.ipynb
+++ b/pyiron_base_simple.ipynb
@@ -1 +1,284 @@
-{"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.12.8","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":5,"nbformat":4,"cells":[{"id":"c39b76fb-259f-4e16-a44d-02a295c82386","cell_type":"markdown","source":"# pyiron","metadata":{}},{"id":"3638419b-a0cb-49e2-b157-7fbb1acde90f","cell_type":"markdown","source":"## Define workflow with pyiron_base","metadata":{}},{"id":"b4a78447-e87c-4fb4-8d17-d9a280eb7254","cell_type":"code","source":"from pyiron_base import Project, job","metadata":{"trusted":true},"outputs":[],"execution_count":1},{"id":"06c2bd9e-b2ac-4b88-9158-fa37331c3418","cell_type":"code","source":"from python_workflow_definition.pyiron_base import write_workflow_json","metadata":{"trusted":true},"outputs":[],"execution_count":2},{"id":"fb847d49-7bf9-4839-9b99-c116d1b0e9ee","cell_type":"code","source":"from simple_workflow import (\n    add_x_and_y as _add_x_and_y, \n    get_prod_and_div as _get_prod_and_div,\n)","metadata":{"trusted":true},"outputs":[],"execution_count":3},{"id":"8f95244e","cell_type":"code","source":"workflow_json_filename = \"pyiron_base_simple.json\"","metadata":{"trusted":true},"outputs":[],"execution_count":4},{"id":"07598344-0f75-433b-8902-bea21a42088c","cell_type":"code","source":"add_x_and_y = job(_add_x_and_y)\nget_prod_and_div = job(_get_prod_and_div, output_key_lst=[\"prod\", \"div\"])","metadata":{"trusted":true},"outputs":[],"execution_count":5},{"id":"ecef1ed5-a8d3-48c3-9e01-4a40e55c1153","cell_type":"code","source":"pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)","metadata":{"trusted":true},"outputs":[{"output_type":"display_data","data":{"text/plain":"0it [00:00, ?it/s]","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"57d2626f4f574042afde6ffccb7cdf5f"}},"metadata":{}}],"execution_count":6},{"id":"2b88a30a-e26b-4802-89b7-79ca08cc0af9","cell_type":"code","source":"obj = get_prod_and_div(x=1, y=2, pyiron_project=pr)","metadata":{"trusted":true},"outputs":[],"execution_count":7},{"id":"a5e5ca63-2906-47c9-bac6-adebf8643cba","cell_type":"code","source":"w = add_x_and_y(x=obj.output.prod, y=obj.output.div, pyiron_project=pr)","metadata":{"trusted":true},"outputs":[],"execution_count":8},{"id":"e464da97-16a1-4772-9a07-0a47f152781d","cell_type":"code","source":"write_workflow_json(delayed_object=w, file_name=workflow_json_filename)","metadata":{"trusted":true},"outputs":[],"execution_count":9},{"id":"bca646b2-0a9a-4271-966a-e5903a8c9031","cell_type":"code","source":"!cat {workflow_json_filename}","metadata":{"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"{\"nodes\": [{\"id\": 0, \"function\": \"simple_workflow.add_x_and_y\"}, {\"id\": 1, \"function\": \"simple_workflow.get_prod_and_div\"}, {\"id\": 2, \"value\": 1}, {\"id\": 3, \"value\": 2}], \"edges\": [{\"target\": 0, \"targetPort\": \"x\", \"source\": 1, \"sourcePort\": \"prod\"}, {\"target\": 1, \"targetPort\": \"x\", \"source\": 2, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"y\", \"source\": 3, \"sourcePort\": null}, {\"target\": 0, \"targetPort\": \"y\", \"source\": 1, \"sourcePort\": \"div\"}]}"}],"execution_count":10},{"id":"a4c0faaf-e30d-4ded-8e9f-57f97f51b14c","cell_type":"markdown","source":"## Load Workflow with aiida","metadata":{}},{"id":"2ecc229f-daa1-49b9-9279-a6b5ae1aa4f2","cell_type":"code","source":"from aiida import load_profile\n\nload_profile()","metadata":{"trusted":true},"outputs":[{"execution_count":11,"output_type":"execute_result","data":{"text/plain":"Profile<uuid='9da6a68ed2b14ffb920b92aa0a616339' name='pwd'>"},"metadata":{}}],"execution_count":11},{"id":"68a56b32-9f99-43d7-aaee-0c1cd9522681","cell_type":"code","source":"from python_workflow_definition.aiida import load_workflow_json","metadata":{"trusted":true},"outputs":[],"execution_count":12},{"id":"8f2a621d-b533-4ddd-8bcd-c22db2f922ec","cell_type":"code","source":"wg = load_workflow_json(file_name=workflow_json_filename)\nwg","metadata":{"trusted":true},"outputs":[{"execution_count":13,"output_type":"execute_result","data":{"text/plain":"NodeGraphWidget(settings={'minimap': True}, style={'width': '90%', 'height': '600px'}, value={'name': 'WorkGra…","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":1,"model_id":"e429e6d025e44146b69e330b4888358f"}},"metadata":{}}],"execution_count":13},{"id":"cf80267d-c2b0-4236-bf1d-a57596985fc1","cell_type":"code","source":"\nwg.run()","metadata":{"trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":"04/12/2025 11:28:38 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_prod_and_div2\n04/12/2025 11:28:39 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|update_task_state]: Task: get_prod_and_div2, type: PyFunction, finished.\n04/12/2025 11:28:39 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|continue_workgraph]: tasks ready to run: add_x_and_y1\n04/12/2025 11:28:40 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|update_task_state]: Task: add_x_and_y1, type: PyFunction, finished.\n04/12/2025 11:28:40 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n04/12/2025 11:28:40 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|finalize]: Finalize workgraph.\n"}],"execution_count":14},{"id":"0c3503e1-0a32-40e1-845d-3fd9ec3c4c19","cell_type":"markdown","source":"## Load Workflow with jobflow","metadata":{}},{"id":"4abb0481-8e38-479d-ae61-6c46d091653e","cell_type":"code","source":"from python_workflow_definition.jobflow import load_workflow_json","metadata":{"trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":"/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"cipher\": algorithms.TripleDES,\n/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"class\": algorithms.TripleDES,\n"}],"execution_count":15},{"id":"8253dd7c283bf3f7","cell_type":"code","source":"from jobflow.managers.local import run_locally","metadata":{"trusted":true},"outputs":[],"execution_count":16},{"id":"4b45e83b-945f-48c5-8e20-9df0ce0a14a1","cell_type":"code","source":"flow = load_workflow_json(file_name=workflow_json_filename)","metadata":{"trusted":true},"outputs":[],"execution_count":17},{"id":"8665c39c-220c-4982-b738-c31f6460530f","cell_type":"code","source":"result = run_locally(flow)\nresult","metadata":{"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"2025-04-12 11:28:41,600 INFO Started executing jobs locally\n2025-04-12 11:28:42,179 INFO Starting job - get_prod_and_div (a00c2b77-12e1-4ec7-9919-99f65db51848)\n2025-04-12 11:28:42,184 INFO Finished job - get_prod_and_div (a00c2b77-12e1-4ec7-9919-99f65db51848)\n2025-04-12 11:28:42,186 INFO Starting job - add_x_and_y (5e71d195-b5a0-4eda-9279-0587f97ad019)\n2025-04-12 11:28:42,190 INFO Finished job - add_x_and_y (5e71d195-b5a0-4eda-9279-0587f97ad019)\n2025-04-12 11:28:42,191 INFO Finished executing jobs locally\n"},{"execution_count":18,"output_type":"execute_result","data":{"text/plain":"{'a00c2b77-12e1-4ec7-9919-99f65db51848': {1: Response(output={'prod': 2, 'div': 0.5}, detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n '5e71d195-b5a0-4eda-9279-0587f97ad019': {1: Response(output=2.5, detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))}}"},"metadata":{}}],"execution_count":18},{"id":"cf76f305-24de-45a7-be8e-cfe45cd6458e","cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null}]}
\ No newline at end of file
+{
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python",
+   "version": "3.12.8",
+   "mimetype": "text/x-python",
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "pygments_lexer": "ipython3",
+   "nbconvert_exporter": "python",
+   "file_extension": ".py"
+  }
+ },
+ "nbformat_minor": 5,
+ "nbformat": 4,
+ "cells": [
+  {
+   "id": "c39b76fb-259f-4e16-a44d-02a295c82386",
+   "cell_type": "markdown",
+   "source": "# pyiron",
+   "metadata": {}
+  },
+  {
+   "id": "3638419b-a0cb-49e2-b157-7fbb1acde90f",
+   "cell_type": "markdown",
+   "source": "## Define workflow with pyiron_base",
+   "metadata": {}
+  },
+  {
+   "id": "b4a78447-e87c-4fb4-8d17-d9a280eb7254",
+   "cell_type": "code",
+   "source": "from pyiron_base import job",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 1
+  },
+  {
+   "id": "06c2bd9e-b2ac-4b88-9158-fa37331c3418",
+   "cell_type": "code",
+   "source": "from python_workflow_definition.pyiron_base import write_workflow_json",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 2
+  },
+  {
+   "id": "fb847d49-7bf9-4839-9b99-c116d1b0e9ee",
+   "cell_type": "code",
+   "source": "from simple_workflow import (\n    add_x_and_y as _add_x_and_y, \n    get_prod_and_div as _get_prod_and_div,\n)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 3
+  },
+  {
+   "id": "8f95244e",
+   "cell_type": "code",
+   "source": "workflow_json_filename = \"pyiron_base_simple.json\"",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 4
+  },
+  {
+   "id": "07598344-0f75-433b-8902-bea21a42088c",
+   "cell_type": "code",
+   "source": "add_x_and_y = job(_add_x_and_y)\nget_prod_and_div = job(_get_prod_and_div, output_key_lst=[\"prod\", \"div\"])",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 5
+  },
+  {
+   "id": "2b88a30a-e26b-4802-89b7-79ca08cc0af9",
+   "cell_type": "code",
+   "source": "obj = get_prod_and_div(x=1, y=2)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 7
+  },
+  {
+   "id": "a5e5ca63-2906-47c9-bac6-adebf8643cba",
+   "cell_type": "code",
+   "source": "w = add_x_and_y(x=obj.output.prod, y=obj.output.div)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 8
+  },
+  {
+   "id": "e464da97-16a1-4772-9a07-0a47f152781d",
+   "cell_type": "code",
+   "source": "write_workflow_json(delayed_object=w, file_name=workflow_json_filename)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 9
+  },
+  {
+   "id": "bca646b2-0a9a-4271-966a-e5903a8c9031",
+   "cell_type": "code",
+   "source": "!cat {workflow_json_filename}",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "{\"nodes\": [{\"id\": 0, \"function\": \"simple_workflow.add_x_and_y\"}, {\"id\": 1, \"function\": \"simple_workflow.get_prod_and_div\"}, {\"id\": 2, \"value\": 1}, {\"id\": 3, \"value\": 2}], \"edges\": [{\"target\": 0, \"targetPort\": \"x\", \"source\": 1, \"sourcePort\": \"prod\"}, {\"target\": 1, \"targetPort\": \"x\", \"source\": 2, \"sourcePort\": null}, {\"target\": 1, \"targetPort\": \"y\", \"source\": 3, \"sourcePort\": null}, {\"target\": 0, \"targetPort\": \"y\", \"source\": 1, \"sourcePort\": \"div\"}]}"
+    }
+   ],
+   "execution_count": 10
+  },
+  {
+   "id": "a4c0faaf-e30d-4ded-8e9f-57f97f51b14c",
+   "cell_type": "markdown",
+   "source": "## Load Workflow with aiida",
+   "metadata": {}
+  },
+  {
+   "id": "2ecc229f-daa1-49b9-9279-a6b5ae1aa4f2",
+   "cell_type": "code",
+   "source": "from aiida import load_profile\n\nload_profile()",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "execution_count": 11,
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "Profile<uuid='9da6a68ed2b14ffb920b92aa0a616339' name='pwd'>"
+     },
+     "metadata": {}
+    }
+   ],
+   "execution_count": 11
+  },
+  {
+   "id": "68a56b32-9f99-43d7-aaee-0c1cd9522681",
+   "cell_type": "code",
+   "source": "from python_workflow_definition.aiida import load_workflow_json",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 12
+  },
+  {
+   "id": "8f2a621d-b533-4ddd-8bcd-c22db2f922ec",
+   "cell_type": "code",
+   "source": "wg = load_workflow_json(file_name=workflow_json_filename)\nwg",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "execution_count": 13,
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "NodeGraphWidget(settings={'minimap': True}, style={'width': '90%', 'height': '600px'}, value={'name': 'WorkGra…",
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 1,
+       "model_id": "e429e6d025e44146b69e330b4888358f"
+      }
+     },
+     "metadata": {}
+    }
+   ],
+   "execution_count": 13
+  },
+  {
+   "id": "cf80267d-c2b0-4236-bf1d-a57596985fc1",
+   "cell_type": "code",
+   "source": "\nwg.run()",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "04/12/2025 11:28:38 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_prod_and_div2\n04/12/2025 11:28:39 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|update_task_state]: Task: get_prod_and_div2, type: PyFunction, finished.\n04/12/2025 11:28:39 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|continue_workgraph]: tasks ready to run: add_x_and_y1\n04/12/2025 11:28:40 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|update_task_state]: Task: add_x_and_y1, type: PyFunction, finished.\n04/12/2025 11:28:40 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n04/12/2025 11:28:40 AM <641> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [15|WorkGraphEngine|finalize]: Finalize workgraph.\n"
+    }
+   ],
+   "execution_count": 14
+  },
+  {
+   "id": "0c3503e1-0a32-40e1-845d-3fd9ec3c4c19",
+   "cell_type": "markdown",
+   "source": "## Load Workflow with jobflow",
+   "metadata": {}
+  },
+  {
+   "id": "4abb0481-8e38-479d-ae61-6c46d091653e",
+   "cell_type": "code",
+   "source": "from python_workflow_definition.jobflow import load_workflow_json",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": "/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"cipher\": algorithms.TripleDES,\n/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"class\": algorithms.TripleDES,\n"
+    }
+   ],
+   "execution_count": 15
+  },
+  {
+   "id": "8253dd7c283bf3f7",
+   "cell_type": "code",
+   "source": "from jobflow.managers.local import run_locally",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 16
+  },
+  {
+   "id": "4b45e83b-945f-48c5-8e20-9df0ce0a14a1",
+   "cell_type": "code",
+   "source": "flow = load_workflow_json(file_name=workflow_json_filename)",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": 17
+  },
+  {
+   "id": "8665c39c-220c-4982-b738-c31f6460530f",
+   "cell_type": "code",
+   "source": "result = run_locally(flow)\nresult",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": "2025-04-12 11:28:41,600 INFO Started executing jobs locally\n2025-04-12 11:28:42,179 INFO Starting job - get_prod_and_div (a00c2b77-12e1-4ec7-9919-99f65db51848)\n2025-04-12 11:28:42,184 INFO Finished job - get_prod_and_div (a00c2b77-12e1-4ec7-9919-99f65db51848)\n2025-04-12 11:28:42,186 INFO Starting job - add_x_and_y (5e71d195-b5a0-4eda-9279-0587f97ad019)\n2025-04-12 11:28:42,190 INFO Finished job - add_x_and_y (5e71d195-b5a0-4eda-9279-0587f97ad019)\n2025-04-12 11:28:42,191 INFO Finished executing jobs locally\n"
+    },
+    {
+     "execution_count": 18,
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "{'a00c2b77-12e1-4ec7-9919-99f65db51848': {1: Response(output={'prod': 2, 'div': 0.5}, detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))},\n '5e71d195-b5a0-4eda-9279-0587f97ad019': {1: Response(output=2.5, detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jovyan'))}}"
+     },
+     "metadata": {}
+    }
+   ],
+   "execution_count": 18
+  },
+  {
+   "id": "cf76f305-24de-45a7-be8e-cfe45cd6458e",
+   "cell_type": "code",
+   "source": "",
+   "metadata": {
+    "trusted": true
+   },
+   "outputs": [],
+   "execution_count": null
+  }
+ ]
+}
diff --git a/python_workflow_definition/src/python_workflow_definition/pyiron_base.py b/python_workflow_definition/src/python_workflow_definition/pyiron_base.py
index 50ce8a8..1fbf8ae 100644
--- a/python_workflow_definition/src/python_workflow_definition/pyiron_base.py
+++ b/python_workflow_definition/src/python_workflow_definition/pyiron_base.py
@@ -3,7 +3,7 @@
 import json
 
 import numpy as np
-from pyiron_base import job
+from pyiron_base import job, Project
 from pyiron_base.project.delayed import DelayedObject
 
 from python_workflow_definition.shared import (
@@ -216,7 +216,10 @@ def _get_edges_dict(edges_lst, nodes_dict, connection_dict, lookup_dict):
     return edges_dict_lst
 
 
-def load_workflow_json(project, file_name):
+def load_workflow_json(file_name, project=None):
+    if project is None:
+        project = Project(".")
+
     with open(file_name, "r") as f:
         content = json.load(f)
 
diff --git a/universal_workflow_nfdi.ipynb b/universal_workflow_nfdi.ipynb
index 6cdc977..04a56b6 100644
--- a/universal_workflow_nfdi.ipynb
+++ b/universal_workflow_nfdi.ipynb
@@ -244,15 +244,6 @@
    "source": "## pyiron",
    "metadata": {}
   },
-  {
-   "cell_type": "code",
-   "source": "from pyiron_base import Project",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": 15
-  },
   {
    "cell_type": "code",
    "source": "from python_workflow_definition.pyiron_base import load_workflow_json",
@@ -262,32 +253,10 @@
    "outputs": [],
    "execution_count": 16
   },
-  {
-   "cell_type": "code",
-   "source": "pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "0it [00:00, ?it/s]",
-      "application/vnd.jupyter.widget-view+json": {
-       "version_major": 2,
-       "version_minor": 0,
-       "model_id": "e4591fff56c14d12b9c26bd094df0a9f"
-      }
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 17
-  },
   {
    "cell_type": "code",
    "source": [
-    "delayed_object_lst = load_workflow_json(project=pr, file_name=\"workflow_nfdi.json\")\n",
+    "delayed_object_lst = load_workflow_json(file_name=\"workflow_nfdi.json\")\n",
     "delayed_object_lst[-1].draw()"
    ],
    "metadata": {
@@ -328,25 +297,6 @@
    ],
    "execution_count": 19
   },
-  {
-   "cell_type": "code",
-   "source": "pr.job_table()",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "execution_count": 20,
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": "   id    status chemicalformula  \\\n0   1  finished            None   \n1   2  finished            None   \n2   3  finished            None   \n3   4  finished            None   \n4   5  finished            None   \n5   6  finished            None   \n\n                                                  job  \\\n0      generate_mesh_0b48cf5155cd6802c17d20bb58104132   \n1    convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43   \n2            poisson_a0224b23ceb2119d105a5d98ef37f93e   \n3     plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b   \n4  substitute_macros_874fc185ecec04b4cb9537c58b7efb7b   \n5      compile_paper_3cee534ffe692833d37faf1fd2170cb6   \n\n                                                subjob projectpath  \\\n0      /generate_mesh_0b48cf5155cd6802c17d20bb58104132        None   \n1    /convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43        None   \n2            /poisson_a0224b23ceb2119d105a5d98ef37f93e        None   \n3     /plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b        None   \n4  /substitute_macros_874fc185ecec04b4cb9537c58b7efb7b        None   \n5      /compile_paper_3cee534ffe692833d37faf1fd2170cb6        None   \n\n              project                  timestart timestop totalcputime  \\\n0  /home/jovyan/test/ 2025-04-13 06:55:06.270304     None         None   \n1  /home/jovyan/test/ 2025-04-13 06:55:07.725818     None         None   \n2  /home/jovyan/test/ 2025-04-13 06:55:09.188673     None         None   \n3  /home/jovyan/test/ 2025-04-13 06:55:12.008854     None         None   \n4  /home/jovyan/test/ 2025-04-13 06:55:13.518433     None         None   \n5  /home/jovyan/test/ 2025-04-13 06:55:14.438081     None         None   \n\n                                                    computer  \\\n0  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n1  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n2  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n3  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n4  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n5  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n\n                     hamilton hamversion parentid masterid  \n0  PythonFunctionContainerJob        0.4     None     None  \n1  PythonFunctionContainerJob        0.4     None     None  \n2  PythonFunctionContainerJob        0.4     None     None  \n3  PythonFunctionContainerJob        0.4     None     None  \n4  PythonFunctionContainerJob        0.4     None     None  \n5  PythonFunctionContainerJob        0.4     None     None  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>status</th>\n      <th>chemicalformula</th>\n      <th>job</th>\n      <th>subjob</th>\n      <th>projectpath</th>\n      <th>project</th>\n      <th>timestart</th>\n      <th>timestop</th>\n      <th>totalcputime</th>\n      <th>computer</th>\n      <th>hamilton</th>\n      <th>hamversion</th>\n      <th>parentid</th>\n      <th>masterid</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>generate_mesh_0b48cf5155cd6802c17d20bb58104132</td>\n      <td>/generate_mesh_0b48cf5155cd6802c17d20bb58104132</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 06:55:06.270304</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43</td>\n      <td>/convert_to_xdmf_29ad6ec6927268429dc9aef8166fde43</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 06:55:07.725818</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>poisson_a0224b23ceb2119d105a5d98ef37f93e</td>\n      <td>/poisson_a0224b23ceb2119d105a5d98ef37f93e</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 06:55:09.188673</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b</td>\n      <td>/plot_over_line_82b37a42e0747f11d9a7f6318f63ac6b</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 06:55:12.008854</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>substitute_macros_874fc185ecec04b4cb9537c58b7efb7b</td>\n      <td>/substitute_macros_874fc185ecec04b4cb9537c58b7efb7b</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 06:55:13.518433</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>6</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>compile_paper_3cee534ffe692833d37faf1fd2170cb6</td>\n      <td>/compile_paper_3cee534ffe692833d37faf1fd2170cb6</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 06:55:14.438081</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 20
-  },
   {
    "cell_type": "markdown",
    "source": "## Python",
diff --git a/universal_workflow_qe.ipynb b/universal_workflow_qe.ipynb
index d44e491..3cf57a8 100644
--- a/universal_workflow_qe.ipynb
+++ b/universal_workflow_qe.ipynb
@@ -317,15 +317,6 @@
    "source": "## pyiron_base",
    "metadata": {}
   },
-  {
-   "cell_type": "code",
-   "source": "from pyiron_base import Project",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": 15
-  },
   {
    "cell_type": "code",
    "source": "from python_workflow_definition.pyiron_base import load_workflow_json",
@@ -335,32 +326,10 @@
    "outputs": [],
    "execution_count": 16
   },
-  {
-   "cell_type": "code",
-   "source": "pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "0it [00:00, ?it/s]",
-      "application/vnd.jupyter.widget-view+json": {
-       "version_major": 2,
-       "version_minor": 0,
-       "model_id": "e5f9c898c3294310b0382b34bad87841"
-      }
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 17
-  },
   {
    "cell_type": "code",
    "source": [
-    "delayed_object_lst = load_workflow_json(project=pr, file_name=\"workflow_qe.json\")\n",
+    "delayed_object_lst = load_workflow_json(file_name=\"workflow_qe.json\")\n",
     "delayed_object_lst[-1].draw()"
    ],
    "metadata": {
@@ -461,25 +430,6 @@
    ],
    "execution_count": 19
   },
-  {
-   "cell_type": "code",
-   "source": "pr.job_table()",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "execution_count": 20,
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": "    id    status chemicalformula  \\\n0    1  finished            None   \n1    2  finished            None   \n2    3  finished            None   \n3    4  finished            None   \n4    5  finished            None   \n5    6  finished            None   \n6    7  finished            None   \n7    8  finished            None   \n8    9  finished            None   \n9   10  finished            None   \n10  11  finished            None   \n11  12  finished            None   \n12  13  finished            None   \n13  14  finished            None   \n14  15  finished            None   \n15  16  finished            None   \n16  17  finished            None   \n\n                                                          job  \\\n0         get_bulk_structure_f1e730ed97e30e5439e855d2ac41396f   \n1                   get_dict_1e47509b88d63a21fd421686554c8f4a   \n2               calculate_qe_e3c0bf43f7edf24d215901bf93271e87   \n3        generate_structures_ae88831a5b00782499363606d13fac86   \n4                   get_dict_a99731b84fd0cfe2fc3fbddb824c0cf2   \n5               calculate_qe_2e3befc4a19a5d6c664732ea05423149   \n6                   get_dict_6909bed03bc04a77edd95d50410e4129   \n7               calculate_qe_136e1c03fa9b5a927b3a2d7143ce0f3d   \n8                   get_dict_a58031d05c94d6024c4b126cbb119806   \n9               calculate_qe_59636b4b8251ca5a3eba10610f7548e9   \n10                  get_dict_a7de127dacc50dac3c65047e98c815e0   \n11              calculate_qe_6c7178e5d736f565b234da7fa1c4b43b   \n12                  get_dict_f6f9c4ac3a5c23083843892f116c4d49   \n13              calculate_qe_97670a6dfa2b4b169ba1afd6f21b319e   \n14                  get_list_a6df7a07656486154523680b67dc543b   \n15                  get_list_74fb6d814db11157db9834ac42d2dc07   \n16  plot_energy_volume_curve_4550e31048b42b3c49a07886a414707e   \n\n                                                        subjob projectpath  \\\n0         /get_bulk_structure_f1e730ed97e30e5439e855d2ac41396f        None   \n1                   /get_dict_1e47509b88d63a21fd421686554c8f4a        None   \n2               /calculate_qe_e3c0bf43f7edf24d215901bf93271e87        None   \n3        /generate_structures_ae88831a5b00782499363606d13fac86        None   \n4                   /get_dict_a99731b84fd0cfe2fc3fbddb824c0cf2        None   \n5               /calculate_qe_2e3befc4a19a5d6c664732ea05423149        None   \n6                   /get_dict_6909bed03bc04a77edd95d50410e4129        None   \n7               /calculate_qe_136e1c03fa9b5a927b3a2d7143ce0f3d        None   \n8                   /get_dict_a58031d05c94d6024c4b126cbb119806        None   \n9               /calculate_qe_59636b4b8251ca5a3eba10610f7548e9        None   \n10                  /get_dict_a7de127dacc50dac3c65047e98c815e0        None   \n11              /calculate_qe_6c7178e5d736f565b234da7fa1c4b43b        None   \n12                  /get_dict_f6f9c4ac3a5c23083843892f116c4d49        None   \n13              /calculate_qe_97670a6dfa2b4b169ba1afd6f21b319e        None   \n14                  /get_list_a6df7a07656486154523680b67dc543b        None   \n15                  /get_list_74fb6d814db11157db9834ac42d2dc07        None   \n16  /plot_energy_volume_curve_4550e31048b42b3c49a07886a414707e        None   \n\n               project                  timestart timestop totalcputime  \\\n0   /home/jovyan/test/ 2025-04-13 07:04:12.276558     None         None   \n1   /home/jovyan/test/ 2025-04-13 07:04:12.422243     None         None   \n2   /home/jovyan/test/ 2025-04-13 07:04:12.513828     None         None   \n3   /home/jovyan/test/ 2025-04-13 07:05:02.646906     None         None   \n4   /home/jovyan/test/ 2025-04-13 07:05:02.735789     None         None   \n5   /home/jovyan/test/ 2025-04-13 07:05:02.812462     None         None   \n6   /home/jovyan/test/ 2025-04-13 07:05:13.125592     None         None   \n7   /home/jovyan/test/ 2025-04-13 07:05:13.200792     None         None   \n8   /home/jovyan/test/ 2025-04-13 07:05:24.186538     None         None   \n9   /home/jovyan/test/ 2025-04-13 07:05:24.269749     None         None   \n10  /home/jovyan/test/ 2025-04-13 07:05:35.779678     None         None   \n11  /home/jovyan/test/ 2025-04-13 07:05:35.862800     None         None   \n12  /home/jovyan/test/ 2025-04-13 07:05:50.658981     None         None   \n13  /home/jovyan/test/ 2025-04-13 07:05:50.736461     None         None   \n14  /home/jovyan/test/ 2025-04-13 07:06:04.146809     None         None   \n15  /home/jovyan/test/ 2025-04-13 07:06:04.368979     None         None   \n16  /home/jovyan/test/ 2025-04-13 07:06:04.448541     None         None   \n\n                                                     computer  \\\n0   pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n1   pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n2   pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n3   pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n4   pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n5   pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n6   pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n7   pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n8   pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n9   pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n10  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n11  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n12  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n13  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n14  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n15  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n16  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n\n                      hamilton hamversion parentid masterid  \n0   PythonFunctionContainerJob        0.4     None     None  \n1   PythonFunctionContainerJob        0.4     None     None  \n2   PythonFunctionContainerJob        0.4     None     None  \n3   PythonFunctionContainerJob        0.4     None     None  \n4   PythonFunctionContainerJob        0.4     None     None  \n5   PythonFunctionContainerJob        0.4     None     None  \n6   PythonFunctionContainerJob        0.4     None     None  \n7   PythonFunctionContainerJob        0.4     None     None  \n8   PythonFunctionContainerJob        0.4     None     None  \n9   PythonFunctionContainerJob        0.4     None     None  \n10  PythonFunctionContainerJob        0.4     None     None  \n11  PythonFunctionContainerJob        0.4     None     None  \n12  PythonFunctionContainerJob        0.4     None     None  \n13  PythonFunctionContainerJob        0.4     None     None  \n14  PythonFunctionContainerJob        0.4     None     None  \n15  PythonFunctionContainerJob        0.4     None     None  \n16  PythonFunctionContainerJob        0.4     None     None  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>status</th>\n      <th>chemicalformula</th>\n      <th>job</th>\n      <th>subjob</th>\n      <th>projectpath</th>\n      <th>project</th>\n      <th>timestart</th>\n      <th>timestop</th>\n      <th>totalcputime</th>\n      <th>computer</th>\n      <th>hamilton</th>\n      <th>hamversion</th>\n      <th>parentid</th>\n      <th>masterid</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>get_bulk_structure_f1e730ed97e30e5439e855d2ac41396f</td>\n      <td>/get_bulk_structure_f1e730ed97e30e5439e855d2ac41396f</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:04:12.276558</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>get_dict_1e47509b88d63a21fd421686554c8f4a</td>\n      <td>/get_dict_1e47509b88d63a21fd421686554c8f4a</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:04:12.422243</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>calculate_qe_e3c0bf43f7edf24d215901bf93271e87</td>\n      <td>/calculate_qe_e3c0bf43f7edf24d215901bf93271e87</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:04:12.513828</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>generate_structures_ae88831a5b00782499363606d13fac86</td>\n      <td>/generate_structures_ae88831a5b00782499363606d13fac86</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:05:02.646906</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>get_dict_a99731b84fd0cfe2fc3fbddb824c0cf2</td>\n      <td>/get_dict_a99731b84fd0cfe2fc3fbddb824c0cf2</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:05:02.735789</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>6</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>calculate_qe_2e3befc4a19a5d6c664732ea05423149</td>\n      <td>/calculate_qe_2e3befc4a19a5d6c664732ea05423149</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:05:02.812462</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>7</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>get_dict_6909bed03bc04a77edd95d50410e4129</td>\n      <td>/get_dict_6909bed03bc04a77edd95d50410e4129</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:05:13.125592</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>8</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>calculate_qe_136e1c03fa9b5a927b3a2d7143ce0f3d</td>\n      <td>/calculate_qe_136e1c03fa9b5a927b3a2d7143ce0f3d</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:05:13.200792</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>9</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>get_dict_a58031d05c94d6024c4b126cbb119806</td>\n      <td>/get_dict_a58031d05c94d6024c4b126cbb119806</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:05:24.186538</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>10</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>calculate_qe_59636b4b8251ca5a3eba10610f7548e9</td>\n      <td>/calculate_qe_59636b4b8251ca5a3eba10610f7548e9</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:05:24.269749</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>11</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>get_dict_a7de127dacc50dac3c65047e98c815e0</td>\n      <td>/get_dict_a7de127dacc50dac3c65047e98c815e0</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:05:35.779678</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>12</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>calculate_qe_6c7178e5d736f565b234da7fa1c4b43b</td>\n      <td>/calculate_qe_6c7178e5d736f565b234da7fa1c4b43b</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:05:35.862800</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>13</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>get_dict_f6f9c4ac3a5c23083843892f116c4d49</td>\n      <td>/get_dict_f6f9c4ac3a5c23083843892f116c4d49</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:05:50.658981</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>14</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>calculate_qe_97670a6dfa2b4b169ba1afd6f21b319e</td>\n      <td>/calculate_qe_97670a6dfa2b4b169ba1afd6f21b319e</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:05:50.736461</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>15</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>get_list_a6df7a07656486154523680b67dc543b</td>\n      <td>/get_list_a6df7a07656486154523680b67dc543b</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:06:04.146809</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>16</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>get_list_74fb6d814db11157db9834ac42d2dc07</td>\n      <td>/get_list_74fb6d814db11157db9834ac42d2dc07</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:06:04.368979</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>17</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>plot_energy_volume_curve_4550e31048b42b3c49a07886a414707e</td>\n      <td>/plot_energy_volume_curve_4550e31048b42b3c49a07886a414707e</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:06:04.448541</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 20
-  },
   {
    "cell_type": "markdown",
    "source": "## Python",
diff --git a/universal_workflow_simple.ipynb b/universal_workflow_simple.ipynb
index 63d10ef..34181b1 100644
--- a/universal_workflow_simple.ipynb
+++ b/universal_workflow_simple.ipynb
@@ -244,15 +244,6 @@
    "source": "## pyiron",
    "metadata": {}
   },
-  {
-   "cell_type": "code",
-   "source": "from pyiron_base import Project",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": 15
-  },
   {
    "cell_type": "code",
    "source": "from python_workflow_definition.pyiron_base import load_workflow_json",
@@ -262,32 +253,10 @@
    "outputs": [],
    "execution_count": 16
   },
-  {
-   "cell_type": "code",
-   "source": "pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "0it [00:00, ?it/s]",
-      "application/vnd.jupyter.widget-view+json": {
-       "version_major": 2,
-       "version_minor": 0,
-       "model_id": "f86d15b608244799abdfa8d9f8bcd8cc"
-      }
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 17
-  },
   {
    "cell_type": "code",
    "source": [
-    "delayed_object_lst = load_workflow_json(project=pr, file_name=\"workflow_simple.json\")\n",
+    "delayed_object_lst = load_workflow_json(file_name=\"workflow_simple.json\")\n",
     "delayed_object_lst[-1].draw()"
    ],
    "metadata": {
@@ -328,25 +297,6 @@
    ],
    "execution_count": 19
   },
-  {
-   "cell_type": "code",
-   "source": "pr.job_table()",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [
-    {
-     "execution_count": 20,
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": "   id    status chemicalformula  \\\n0   1  finished            None   \n1   2  finished            None   \n\n                                                 job  \\\n0  get_prod_and_div_5e64acfa88dc01309cd4ba60143865e3   \n1       add_x_and_y_82c0f2025c97ddd328aaebe50fb30c48   \n\n                                               subjob projectpath  \\\n0  /get_prod_and_div_5e64acfa88dc01309cd4ba60143865e3        None   \n1       /add_x_and_y_82c0f2025c97ddd328aaebe50fb30c48        None   \n\n              project                  timestart timestop totalcputime  \\\n0  /home/jovyan/test/ 2025-04-13 07:08:46.958268     None         None   \n1  /home/jovyan/test/ 2025-04-13 07:08:47.080709     None         None   \n\n                                                    computer  \\\n0  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n1  pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1   \n\n                     hamilton hamversion parentid masterid  \n0  PythonFunctionContainerJob        0.4     None     None  \n1  PythonFunctionContainerJob        0.4     None     None  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>status</th>\n      <th>chemicalformula</th>\n      <th>job</th>\n      <th>subjob</th>\n      <th>projectpath</th>\n      <th>project</th>\n      <th>timestart</th>\n      <th>timestop</th>\n      <th>totalcputime</th>\n      <th>computer</th>\n      <th>hamilton</th>\n      <th>hamversion</th>\n      <th>parentid</th>\n      <th>masterid</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>get_prod_and_div_5e64acfa88dc01309cd4ba60143865e3</td>\n      <td>/get_prod_and_div_5e64acfa88dc01309cd4ba60143865e3</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:08:46.958268</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>finished</td>\n      <td>None</td>\n      <td>add_x_and_y_82c0f2025c97ddd328aaebe50fb30c48</td>\n      <td>/add_x_and_y_82c0f2025c97ddd328aaebe50fb30c48</td>\n      <td>None</td>\n      <td>/home/jovyan/test/</td>\n      <td>2025-04-13 07:08:47.080709</td>\n      <td>None</td>\n      <td>None</td>\n      <td>pyiron@jupyter-pyiron-dev-pyth-flow-definition-cmhhpfb1#1</td>\n      <td>PythonFunctionContainerJob</td>\n      <td>0.4</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
-     },
-     "metadata": {}
-    }
-   ],
-   "execution_count": 20
-  },
   {
    "cell_type": "markdown",
    "source": "## Python",