Dataset
DFT_polymorphs_PNAS_2022_PBE_TS_glycine_test
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| Name | DFT_polymorphs_PNAS_2022_PBE_TS_glycine_test |
|---|---|
| Extended ID | DFT_polymorphs_PNAS_2022_PBE_TS_glycine_test__Kapil-Engel__DS_qx4h8j4luk70_0 |
| Description | Glycine test 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/d68e42bc
https://commons.datacite.org/doi.org/10.60732/d68e42bc https://doi.datacite.org/dois/10.60732%2Fd68e42bc https://doi.org/10.60732/d68e42bc Cite as: Kapil, V., and Engel, E. A. "DFT polymorphs PNAS 2022 PBE TS glycine test." ColabFit, 2023. https://doi.org/10.60732/d68e42bc. For other citation formats, see the DataCite Fabrica page for this dataset. |
| Calculated Property Types |
atomic_forces cauchy_stress energy |
| Elements |
C (20.0%) H (50.0%) N (10.0%) O (20.0%) |
| Number of Configurations | 500 |
| Number of Atoms | 17,710 |
| 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) |
| Calculated Properties | |
| ColabFit ID | DS_qx4h8j4luk70_0 |
| Files | colabfitspec.json |
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