Published October 9, 2023 | Version v2
Dataset Open

Defected phosphorene dataset and trained HNNP models

  • 1. University of Vienna

Description

The dataset contains pristine monolayer phosphorene as well as structures with monovacancies and divacancies. The data was obtained using Density Functional Theory (VASP). The Perdew-Burke-Ernzerhof PBE functional was employed with an energy cutoff of 600 eV. The Brillouin zone was sampled by using a 3 × 3 × 1 Gamma-centered mesh. The input.data file is suitable for packages such as n2p2 and Runner.

Information about neural network potential are provided in the publication (10.1021/acs.jpcc.3c05713).

Files

HDNNP.zip

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Additional details

Related works

Is supplement to
Publication: 10.1021/acs.jpcc.3c05713 (DOI)

Funding

FWF Austrian Science Fund
Doctoral College Advanced Functional Materials-Hierarchical Design of Hybrid Systems DOC 85