Dataset

QM7b_AlphaML




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Name QM7b_AlphaML
Extended ID QM7b_AlphaML__Yang-Lao-Wilkins-Grisafi-Ceriotti-Jr__DS_3a5xucj4yqa8_0
Description Energy, computed with LR-CCSD, hybrid DFT (B3LYP & SCAN0) for 7211 molecules in QM7b and 52 molecules in AlphaML showcase database.
Authors Yang Yang
Ka Un Lao
David M. Wilkins
Andrea Grisafi
Michele Ceriotti
Robert A. DiStasio Jr
DOI 10.60732/8fb1d4c7
https://commons.datacite.org/doi.org/10.60732/8fb1d4c7
https://doi.datacite.org/dois/10.60732%2F8fb1d4c7
https://doi.org/10.60732/8fb1d4c7

Cite as: Yang, Y., Lao, K. U., Wilkins, D. M., Grisafi, A., Ceriotti, M., and Jr, R. A. D. "QM7b AlphaML." ColabFit, 2023. https://doi.org/10.60732/8fb1d4c7.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types cauchy_stress
energy
Elements
C (32.33%)
Cl (0.03%)
H (55.95%)
N (6.01%)
O (5.41%)
S (0.27%)
Number of Configurations 7,255
Number of Atoms 112,218
Publication Link https://doi.org/10.1038/s41597-019-0157-8
Data Source Link https://doi.org/10.24435/materialscloud:2019.0002/v3
Other Links http://doi.org/10.1073/pnas.1816132116
Configuration Sets by Name
Configuration Sets by ID
ColabFit ID DS_3a5xucj4yqa8_0
Downloads 7
Files colabfitspec.json

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