Name: sGDML_Benzene_ccsdt_NC2018_train Extended ID: sGDML_Benzene_ccsdt_NC2018_train__Chmiela-Sauceda-Muller-Tkatchenko__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 Calculated Property Types: atomic_forces energy Elements: C (50.0%) H (50.0%) Methods: CCSD(T) Software: Psi4 Number of Configurations: 999 Number of Atoms: 11,988 Publication Link: https://doi.org/10.1038/s41467-018-06169-2 Data Source Link: http://sgdml.org/