Dataset

sGDML_Benzene_ccsdt_NC2018_test


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Name sGDML_Benzene_ccsdt_NC2018_test
Extended ID sGDML_Benzene_ccsdt_NC2018_test__Chmiela-Sauceda-Müller-Tkatchenko__DS_jol8dvjej92n_0
Description The test set of a train/test pair from the benzene dataset from sGDML. To create the coupled cluster datasets, the data used for training the models were created by running ab initio MD in the NVT ensemble using the Nosé-Hoover thermostat at 500 K during a 200 ps simulation with a resolution of 0.5 fs. Energies and forces were recalculated using all-electron coupled cluster with single , double and perturbative triple excitations (CCSD(T)). The Dunning correlation-consistent basis set cc-pVDZ was used for benzene. All calculations were performed with the Psi4 software suite.
Authors Stefan Chmiela
Huziel E. Sauceda
Klaus-Robert Müller
Alexandre Tkatchenko
DOI 10.60732/81df086b
https://commons.datacite.org/doi.org/10.60732/81df086b
https://doi.datacite.org/dois/10.60732%2F81df086b
https://doi.org/10.60732/81df086b

Cite as: Chmiela, S., Sauceda, H. E., Müller, K., and Tkatchenko, A. "sGDML Benzene ccsdt NC2018 test." ColabFit, 2023. https://doi.org/10.60732/81df086b.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types atomic_forces
cauchy_stress
energy
Elements C (50.0%)
H (50.0%)
Number of Configurations 500
Number of Atoms 6,000
Links http://sgdml.org/
https://doi.org/10.1038/s41467-018-06169-2
Configuration Sets by Name (None)
Configuration Sets by ID (None)
Calculated Properties
ColabFit ID DS_jol8dvjej92n_0
Files colabfitspec.json

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