Dataset

sGDML_Ethanol_ccsdt_NC2018_test




Species content of dataset


Name :
sGDML_Ethanol_ccsdt_NC2018_test
Authors :
Stefan Chmiela, Huziel E. Sauceda, Klaus-Robert Müller, Alexandre Tkatchenko
Description :
The test set of a train/test pair from the ethanol 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-pVTZ was used for ethanol. All calculations were performed with the Psi4 software suite.
Cite As :
Chmiela, S., Sauceda, H. E., Müller, K., and Tkatchenko, A. "sGDML Ethanol ccsdt NC2018 test." ColabFit, 2023. https://doi.org/10.60732/76c53b98.
ColabFit ID :
Date Added :
2023-09-18
License :
MIT
Downloads :
32
Num. Configurations :
1,000
Num. Atoms :
9,000
Calculated Property Types :
atomic_forces energy
Elements :
C (22.22%) H (66.67%) O (11.11%)
Methods :
CCSD(T)
Software :
Psi4
Data Source Link :
Spec File :
Configuration Sets by Name :
Configuration Sets by ID :
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