Ising model #87
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Ising model #87
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This is the performance I get by training a HydraGNN model with number_atoms_per_dimension = 5
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streeve
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Jan 13, 2022
streeve
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Jan 13, 2022
pzhanggit
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Jan 13, 2022
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@pzhanggit it does make sense, but I would like to give the idea that the Ising model naturally flows into the FePt case without changing of predictive tasks. |
RylieWeaver
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Oct 17, 2024
* reformatting * Update create_configurations.py * json file added for Ising model * Update ising_model.json * change in the definition of the spin and change of data format in .json file * requirements file for example added * Rename ising data * Add tqdm * Rename spin and redefine atom_type * removed subtraction of -1 from coordinates * sine used to map atom features into spin * sinusoidal spin used to calculate the energy * setting for creation of dfataset and model changed Co-authored-by: Massimiliano Lupo Pasini <7ml@ornl.gov> Co-authored-by: Sam Reeve <6740307+streeve@users.noreply.github.com>
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