Dataset

COMP6v2-wB97X-631Gd




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Name COMP6v2-wB97X-631Gd
Extended ID COMP6v2-wB97X-631Gd__Huddleston-Zubatyuk-Smith-Roitberg-Isayev-Pickering-Devereux-Barros__DS_15m7etw1om8a_0
Description COMP6v2-wB97X-631Gd is the portion of COMP6v2 calculated at the wB97X/631Gd level of theory. COmprehensive Machine-learning Potential (COMP6) Benchmark Suite version 2.0 is an extension of the COMP6 benchmark found in the following repository: https://github.com/isayev/COMP6. COMP6v2 is a data set of density functional properties for molecules containing H, C, N, O, S, F, and Cl. It is available at the following levels of theory: wB97X/631Gd (data used to train model in the ANI-2x paper); wB97MD3BJ/def2TZVPP; wB97MV/def2TZVPP; B973c/def2mTZVP. The 6 subsets from COMP6 (ANI-MD, DrugBank, GDB07to09, GDB10to13 Tripeptides, and s66x8) are contained in each of the COMP6v2 datasets corresponding to the above levels of theory.
Authors Kate Huddleston
Roman Zubatyuk
Justin Smith
Adrian Roitberg
Olexandr Isayev
Ignacio Pickering
Christian Devereux
Kipton Barros
DOI 10.60732/cbced4c5
https://commons.datacite.org/doi.org/10.60732/cbced4c5
https://doi.datacite.org/dois/10.60732%2Fcbced4c5
https://doi.org/10.60732/cbced4c5

Cite as: Huddleston, K., Zubatyuk, R., Smith, J., Roitberg, A., Isayev, O., Pickering, I., Devereux, C., and Barros, K. "COMP6v2-wB97X-631Gd." ColabFit, 2023. https://doi.org/10.60732/cbced4c5.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types atomic_forces
cauchy_stress
energy
Elements
C (34.21%)
Cl (0.62%)
F (0.59%)
H (50.17%)
N (6.91%)
O (6.19%)
S (1.31%)
Number of Configurations 157,718
Number of Atoms 3,897,748
Publication Link https://doi.org/10.1021/acs.jctc.0c00121
Data Source Link https://doi.org/10.5281/zenodo.10126157
Configuration Sets by Name
Configuration Sets by ID
ColabFit ID DS_15m7etw1om8a_0
Downloads 14
Files colabfitspec.json

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