2026-10-15T06:41:52Z https://data.mendeley.com/oai

oai:data.mendeley.com/b75bjps2vw.1 2025-07-03T15:36:37Z

Isamura, Bienfait Dataset supporting the robustness of GP-based atomic energy models Mendeley Data This dataset contains both input and output files of all the experiments reported in the paper "Unprecedented robustness of physics-informed atomic energy models at and beyond room temperature" (not yet published at the date of publication of this dataset). Input files comprise (a) the reference dataset (.csv) files used for building and testing the models, and (b) CONTROL, CONFIG, and FIELD files used as inputs for FFLUX simulations. Output files include (a) model files containing the atomic energy models for each system and each mean function type, (b) the results from the distortion challenges, (c) the conformational samples from extended FFLUX simulations at 500 K, and (d) the gif files showing the prediction of restoring forces over the first 1 ps of FFLUX simulations initiated from highly distorted geometries of malondialdehyde, aspirin, and serine. Machine Learning Molecular Dynamics Force Field Gaussian Process Aten, Olivia nosratjoo, mohamadhosein Popelier, Paul Dataset doi:10.17632/b75bjps2vw.1 oai:data.mendeley.com/b75bjps2vw.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/b75bjps2vw 2025-07-03T15:36:37Z