High-throughput determination of threshold displacement energies in AlGaN alloys

Read full text
Authors: Alexander Hauck, Aiden Gonzalez, Marley Fennell, Miaomiao Jin
Cited by: 1

Abstract

Accompanying data and analysis from molecular dynamics simulations (machine learning interatomic potential and Stillinger–Weber potential) for AlGaN threshold displacement energies. Five compositions of AlGaN are considered (0%, 25%, 50%, 75%, and 100% Al content). LAMMPS input files and structures are included as well as LAMMPS log files and findTDE output files. Potential files are not included (available from references), and dump files are not included due to data size constraints (but may be recreated from the supplied inputs). Data analysis files from findTDE are also included for each set of calculations.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
31 July 2026
Language
EN
Document type
Dataset