Published October 9, 2023
| Version v2
Dataset
Open
Defected phosphorene dataset and trained HNNP models
Authors/Creators
- 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
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