Dataset
sGDML_Toluene_ccsdt_NC2018_test
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| Name | sGDML_Toluene_ccsdt_NC2018_test |
|---|---|
| Extended ID | Toluene_ccsdt_NC2018_test_ChmielaSaucedaMullerTkatchenko__DS_ega58h2u9rwr_0 |
| Description | The test set of a train/test pair from the toluene 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 malonaldehyde. All calculations were performed with the Psi4 software suite. |
| Authors |
Stefan Chmiela Huziel E. Sauceda Klaus-Robert Müller Alexandre Tkatchenko |
| DOI |
10.60732/52a54ab9
https://commons.datacite.org/doi.org/10.60732/52a54ab9 https://doi.datacite.org/dois/10.60732%2F52a54ab9 https://doi.org/10.60732/52a54ab9 Cite as: Chmiela, S., Sauceda, H. E., Müller, K., and Tkatchenko, A. "sGDML Toluene ccsdt NC2018 test." ColabFit, 2023. https://doi.org/10.60732/52a54ab9. For other citation formats, see the DataCite Fabrica page for this dataset. |
| Elements |
C (46.67%) H (53.33%) |
| Number of Data Objects | 501 |
| Number of Configurations | 501 |
| Number of Atoms | 7,515 |
| 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_ega58h2u9rwr_0 |
| Files | colabfitspec.json |
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