Dataset

HDNNP-H2O



Download Dataset XYZ file

Name HDNNP-H2O
Extended ID HDNNP-H2O_MorawietzBehler__DS_ovtilltolpq3_0
Description Approximately 28,000 configurations split into 4 datasets, each using a different functional, used in the training of a high-dimensional neural network potential (HDNNP).
Authors Tobias Morawietz
Jörg Behler
Elements H (66.67%)
O (33.33%)
Number of Data Objects 14,538
Number of Configurations 14,538
Number of Atoms 1,523,988
Links https://doi.org/10.5281/zenodo.2634097
https://doi.org/10.1103/PhysRevLett.98.146401
https://doi.org/10.1073/pnas.1602375113
Configuration Sets by Name HDNNP-H2O-BLYP — All configurations from HDNNP-H2O dataset
HDNNP-H2O-BLYP-D3 — All configurations from HDNNP-H2O dataset
HDNNP-H2O-RPBE — All configurations from HDNNP-H2O dataset
HDNNP-H2O-RPBE-D3 — All configurations from HDNNP-H2O dataset
Configuration Sets by ID CS_tv871d17vu3l_0
CS_rrx5trq85ekb_0
CS_hx1sx9ko388o_0
CS_j9oo2w2f4iit_0
Data Objects Too many to display
ColabFit ID DS_ovtilltolpq3_0
Files colabfitspec.json

No uploaded content is transferred in ownership from the original creators to ColabFit. All content is distributed under the license specified by its contributor who has stated that he or she has the authority to share it under the specified license.