Dataset

DFT_polymorphs_PNAS_2022_PBE0_MBD_benzene_validation




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Name DFT_polymorphs_PNAS_2022_PBE0_MBD_benzene_validation
Extended ID DFT_polymorphs_PNAS_2022_PBE0_MBD_benzene_validation__Kapil-Engel__DS_xaq6jwha0a7o_0
Description Benzene validation PBE0-MBD 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 2Ï€ A^-1, and a plane-wave energy cut-off of 100 Ry for the wavefunction.
Authors Venkat Kapil
Edgar A. Engel
DOI 10.60732/eb286cb6
https://commons.datacite.org/doi.org/10.60732/eb286cb6
https://doi.datacite.org/dois/10.60732%2Feb286cb6
https://doi.org/10.60732/eb286cb6

Cite as: Kapil, V., and Engel, E. A. "DFT polymorphs PNAS 2022 PBE0 MBD benzene validation." ColabFit, 2023. https://doi.org/10.60732/eb286cb6.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types atomic_forces
cauchy_stress
energy
Elements
C (50.0%)
H (50.0%)
Number of Configurations 200
Number of Atoms 6,072
Publication Link https://doi.org/10.1073/pnas.2111769119
Data Source Link https://doi.org/10.24435/materialscloud:vp-jf
Other Links https://github.com/venkatkapil24/data_molecular_fluctuations
Configuration Sets by Name
Configuration Sets by ID
ColabFit ID DS_xaq6jwha0a7o_0
Downloads 7
Files colabfitspec.json

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