Data for the study: "Variational principle to regularize machine-learned density functionals: the non-interacting kinetic-energy functional" — Pablo del Mazo‐Sevillano | RDL Network
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.
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