Merge upstream changes

README.md

@@ -8,7 +8,7 @@
 [![MIT License](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 ![Python Versions](https://img.shields.io/badge/python-3.8%20|%203.9%20|%203.10%20|%203.11-blue)
-
+[![status](https://joss.theoj.org/papers/173453d08813f66a718f583502351747/status.svg)](https://joss.theoj.org/papers/173453d08813f66a718f583502351747)
 
 
 <br />
@@ -27,10 +27,10 @@
   </p>
 </div>
 
-A robust tensor-based deep learning framework for solving PDE's using hp-Variational Physics-Informed Neural Networks (hp-VPINNs). The framework is based on the work by [FastVPINNs Paper](https://arxiv.org/abs/2404.12063).
+A robust tensor-based deep learning framework for solving partial differential equations using hp-Variational Physics-Informed Neural Networks (hp-VPINNs). The framework is based on the methodology presented in the [FastVPINNs Paper](https://arxiv.org/abs/2404.12063).
 
 
-*This library is an highly optimised version of the the initial implementation of hp-VPINNs by [kharazmi](https://github.com/ehsankharazmi/hp-VPINNs). Ref [hp-VPINNs Paper](https://arxiv.org/abs/2003.05385).*
+*This library is a highly optimised version of the the initial implementation of hp-VPINNs by [Kharazmi et al.](https://github.com/ehsankharazmi/hp-VPINNs). Refer the [hp-VPINNs Paper](https://arxiv.org/abs/2003.05385).*
 
 ## Authors 👨‍💻
 ---
@@ -42,7 +42,7 @@ STARS Lab, Department of Computational and Data Sciences, Indian Institute of Sc
 ## Installation 🛠️
 ---
 
-The build of the code is currently tested on Python versions (3.8, 3.9, 3.10, 3.11), on OS Ubuntu 20.04 and Ubuntu 22.04, Macos-latest and Windows-latest (refer compatibility build [Compatability check](https://github.com/cmgcds/fastvpinns/actions/workflows/compatibility-tests.yml)).
+The build of the code is currently tested on Python versions (3.8, 3.9, 3.10, 3.11), on OS Ubuntu 20.04 and Ubuntu 22.04, MacOS-latest and Windows-latest (refer compatibility build [Compatability check](https://github.com/cmgcds/fastvpinns/actions/workflows/compatibility-tests.yml)).
 
 You can install the package using pip as follows:
 
@@ -113,9 +113,9 @@ Note : Supporting functions which define the actual solution and boundary condit
 
 ## Contributing 🤝
 ---
-This code is currently maintained by the Authors as mentioned in the section above. We welcome contributions from the community. please refer to the [documentation](https://cmgcds.github.io/fastvpinns/) for guidelines on contributing to the project.
+This code is currently maintained by the authors as mentioned in the section above. We welcome contributions from the community. Please refer to the [documentation](https://cmgcds.github.io/fastvpinns/) for guidelines on contributing to the project.
 
 ## License 📑
 ---
 
-This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. 
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. 

docs/_rst/_installation.rst

@@ -1,11 +1,11 @@
 Installation
 ============
 
-The build of the code is currently tested on Python 3.8, 3.9, 3.10 and 3.11. The code is CI tested on environments provided by Github Actions such as `ubuntu-20.04`, `ubuntu-latest`, `macos-latest`, `windows-latest`, 
+The build of the code is currently tested on Python 3.8, 3.9, 3.10 and 3.11. The code is CI tested on environments provided by Github Actions such as `Ubuntu-20.04`, `Ubuntu-latest`, `MacOS-latest`, `Windows-latest`, 
 refer to `Compatibility-CI <https://github.com/cmgcds/fastvpinns/actions/workflows/integration-tests.yml>`_ page for more details.
 
-Setting up an Virtual Environment
-_________________________________
+Setting up a Virtual Environment
+________________________________
 
 It is recommended to create a virtual environment to install the package. You can create a virtual environment using the following command:
 
@@ -31,7 +31,7 @@ You can simply install the package using pip as follows:
 
     pip install fastvpinns
 
-On ubuntu/mac systems with libGL issues caused due to matplotlib or gmsh, please run the following command to install the required dependencies.
+On Ubuntu/Mac systems with libGL issues caused due to matplotlib or gmsh, please run the following command to install the required dependencies.
 
 .. code-block:: bash
 

docs/_rst/_team.rst

@@ -1,9 +1,18 @@
+Team & Fundings
+===============
+
 FastVPINNs Team
-==============
+~~~~~~~~~~~~~~~
 
 FastVPINNs is currently developed by `Thivin Anandh <https://github.com/thivinanandh>`_, `Divij Ghose <https://divijghose.github.io/>`_, 
-under supervision of `Prof. Sashikumaar Ganesan <http://cds.iisc.ac.in/faculty/sashi/>`_ at `STARS LAB, Indian Institute of Science, Bangalore <https://cmg.cds.iisc.ac.in/>`_. 
+under the supervision of `Prof. Sashikumaar Ganesan <http://cds.iisc.ac.in/faculty/sashi/>`_ at `STARS LAB, Indian Institute of Science, Bangalore <https://cmg.cds.iisc.ac.in/>`_. 
+
+Developers: `Thivin Anandh <https://github.com/thivinanandh>`_, `Divij Ghose <https://divijghose.github.io/>`_, `Prof. Sashikumaar Ganesan <http://cds.iisc.ac.in/faculty/sashi/>`_
+
+Documentation : `Rithika Chidambaram <https://www.linkedin.com/in/rithika-c-328a661b5/>`_
 
+Funding
+~~~~~~~
 
 The Authors would like to acknowledge the support of Shell Technology Centre, India for their partial funding, We are thankful to the MHRD Grant No. STARS-1/388 (SPADE)
 for partial support. 

docs/_rst/library/fe2d/fe2d_basis_function.rst

@@ -1,7 +1,7 @@
-fastvpinns.FE.basis\_2d\_QN\_Jacobi module
-----------------------------------------------
+fastvpinns.FE.basis\_function\_2d
+---------------------------------
 
-.. automodule:: fastvpinns.FE.basis_2d_QN_Jacobi
+.. automodule:: fastvpinns.FE.basis_function_2d
    :members:
    :undoc-members:
    :show-inheritance: