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Cite this dataset Kapil, V., and Engel, E. A. DFT polymorphs PNAS 2022 PBE0 MBD benzene test. ColabFit, 2023. https://doi.org/10.60732/c88b64a0

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https://materials.colabfit.org/id/DS_ech19sh1koj4_0

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Dataset Name

DFT polymorphs PNAS 2022 PBE0 MBD benzene test

Description

Benzene test 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 2π A^-1, and a plane-wave energy cut-off of 100 Ry for the wavefunction.

Dataset authors

Venkat Kapil, Edgar A. Engel

Publication

https://doi.org/10.1073/pnas.2111769119

Original data link

https://doi.org/10.24435/materialscloud:vp-jf

License

CC-BY-4.0

Number of unique molecular configurations

200

Number of atoms

5760

Elements included

C, H

Properties included

energy, atomic forces


Usage

  • ds.parquet : Aggregated dataset information.
  • co/ directory: Configuration rows each include a structure, calculated properties, and metadata.
  • cs/ directory : Configuration sets are subsets of configurations grouped by some common characteristic. If cs/ does not exist, no configurations sets have been defined for this dataset.
  • cs_co_map/ directory : The mapping of configurations to configuration sets (if defined).

ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files:

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