Dataset
DFT_polymorphs_PNAS_2022_PBE_TS_succinic_acid_train
Download Dataset XYZ file
| Name | DFT_polymorphs_PNAS_2022_PBE_TS_succinic_acid_train |
|---|---|
| Extended ID | DFT_polymorphs_PNAS_2022_PBE_TS_succinic_acid_train_KapilEngel__DS_0u0k9ghrlkpx_0 |
| Description | Succinic acid training PBE-TS dataset from "Semi-local and hybrid functional DFT data for thermalised snapshots of polymorphs of benzene, succinic acid, and glycine". DFT reference energies and forces were calculated using Quantum Espresso v6.3. The calculations were performed with the semi-local PBE xc functional, Tkatchenko-Scheffler dispersion correction, optimised norm-conserving Vanderbilt pseudopotentials, a Monkhorst-Pack k-point grid with a maximum spacing of 0.06 x 2π A^-1, and a plane-wave energy cut-off of 100 Ry for the wavefunction. |
| Authors |
Venkat Kapil Edgar A. Engel |
| DOI |
10.60732/e3efb796
https://commons.datacite.org/doi.org/10.60732/e3efb796 https://doi.datacite.org/dois/10.60732%2Fe3efb796 https://doi.org/10.60732/e3efb796 Cite as: Kapil, V., and Engel, E. A. "DFT polymorphs PNAS 2022 PBE TS succinic acid train." ColabFit, 2023. https://doi.org/10.60732/e3efb796. For other citation formats, see the DataCite Fabrica page for this dataset. |
| Elements |
C (28.57%) H (42.86%) O (28.57%) |
| Number of Data Objects | 29,212 |
| Number of Configurations | 29,212 |
| Number of Atoms | 817,936 |
| Links |
https://doi.org/10.24435/materialscloud:vp-jf https://doi.org/10.1073/pnas.2111769119 https://github.com/venkatkapil24/data_molecular_fluctuations |
| Configuration Sets by Name | (None) |
| Configuration Sets by ID | (None) |
| Data Objects | Too many to display |
| ColabFit ID | DS_0u0k9ghrlkpx_0 |
| Files | colabfitspec.json |
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