Dataset

WS22_alanine




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Name WS22_alanine
Extended ID WS22_alanine__Jr-Zhang-Dral-Barbatti__DS_vxtsip8qgm7t_0
Description Configurations of alanine from WS22. The WS22 database combines Wigner sampling with geometry interpolation to generate 1.18 million molecular geometries equally distributed into 10 independent datasets of flexible organic molecules with varying sizes and chemical complexity. In addition to the potential energy and forces required to construct potential energy surfaces, the WS22 database provides several other quantum chemical properties, all obtained via single-point calculations for each molecular geometry. All quantum chemical calculations were performed with the Gaussian 09 program.
Authors Max Pinheiro Jr
Shuang Zhang
Pavlo O. Dral
Mario Barbatti
DOI 10.60732/f74456fc
https://commons.datacite.org/doi.org/10.60732/f74456fc
https://doi.datacite.org/dois/10.60732%2Ff74456fc
https://doi.org/10.60732/f74456fc

Cite as: Jr, M. P., Zhang, S., Dral, P. O., and Barbatti, M. "WS22 alanine." ColabFit, 2023. https://doi.org/10.60732/f74456fc.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types atomic_forces
cauchy_stress
energy
Elements
C (23.08%)
H (53.85%)
N (7.69%)
O (15.38%)
Number of Configurations 119,991
Number of Atoms 1,559,883
Publication Link https://doi.org/10.1038/s41597-023-01998-3
Data Source Link https://doi.org/10.5281/zenodo.7032333
Configuration Sets by Name
Configuration Sets by ID
ColabFit ID DS_vxtsip8qgm7t_0
Downloads 6
Files colabfitspec.json

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