Dataset

sGDML_Benzene_ccsdt_NC2018_train



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Name sGDML_Benzene_ccsdt_NC2018_train
Extended ID Benzene_ccsdt_NC2018_train_ChmielaSaucedaMullerTkatchenko__DS_8xk0v5v9dbx0_0
Description The train 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/a3ca9725
https://commons.datacite.org/doi.org/10.60732/a3ca9725
https://doi.datacite.org/dois/10.60732%2Fa3ca9725
https://doi.org/10.60732/a3ca9725

Cite as: Chmiela, S., Sauceda, H. E., Müller, K., and Tkatchenko, A. "sGDML Benzene ccsdt NC2018 train." ColabFit, 2023. https://doi.org/10.60732/a3ca9725.
For other citation formats, see the DataCite Fabrica page for this dataset.
Elements C (50.0%)
H (50.0%)
Number of Data Objects 1,000
Number of Configurations 1,000
Number of Atoms 12,000
Links http://sgdml.org/
https://doi.org/10.1038/s41467-018-06169-2
Configuration Sets by Name (None)
Configuration Sets by ID (None)
Data Objects
ColabFit ID DS_8xk0v5v9dbx0_0
Files colabfitspec.json

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