Dataset

AgPd_NPJ_2021




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Name AgPd_NPJ_2021
Extended ID AgPd_NPJ_2021__Rosenbrock-Gubaev-Shapeev-Partay-Bernstein-Csanyi-Hart__DS_y5m3hunroa7x_0
Description The dataset consists of energies, forces and virials for DFT-VASP-generated Ag-Pd systems. The data was used to fit an active learned dataset which was used to compare MTP- and SOAP-GAP-generated potentials.
Authors Conrad W. Rosenbrock
Konstantin Gubaev
Alexander V. Shapeev
Livia B. Pártay
Noam Bernstein
Gábor Csányi
Gus L. W. Hart
DOI 10.60732/b0e39006
https://commons.datacite.org/doi.org/10.60732/b0e39006
https://doi.datacite.org/dois/10.60732%2Fb0e39006
https://doi.org/10.60732/b0e39006

Cite as: Rosenbrock, C. W., Gubaev, K., Shapeev, A. V., Pártay, L. B., Bernstein, N., Csányi, G., and Hart, G. L. W. "AgPd NPJ 2021." ColabFit, 2023. https://doi.org/10.60732/b0e39006.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types atomic_forces
cauchy_stress
energy
Elements
Ag (49.9%)
Pd (50.1%)
Number of Configurations 993
Number of Atoms 7,260
Publication Link https://doi.org/10.1038/s41524-020-00477-2
Data Source Link https://github.com/msg-byu/agpd
Configuration Sets by Name
Configuration Sets by ID
ColabFit ID DS_y5m3hunroa7x_0
Downloads 7
Files colabfitspec.json

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