Data for the study: "Variational principle to regularize machine-learned density functionals: the non-interacting kinetic-energy functional"
Authors/Creators
Description
This set of files contains the raw data generated by the study titled:
"Variational principle to regularize machine-learned density functionals: the non-interacting kinetic-energy functional"
Contains:
- A set of Jupyter Notebooks to analyzed the data and produce the figures presented in the paper.
- runs: Contains the training and validation scripts for each of the systems studied in this work. Also holds the model weights and validation data.
Three folders are found: Hchain, noninteracting and Atoms.
- datasets: Holds all the datasets generated and employed in this work.
Files
learningKEF_datasets_notebooks_train.zip
Files
(25.4 GB)
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md5:5679bd051576294aea23059c8bb74000
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