Bandi, Sasaank https://orcid.org/0009-0002-8854-4215
Jiang, Chao
Marianetti, Chris A https://orcid.org/0000-0003-3812-2751
Funding for this research was provided by:
Idaho Operations Office, U.S. Department of Energy (DE-AC07-05ID14517)
Office of Science (DE-SC0016507)
Article Title: Benchmarking machine learning interatomic potentials via phonon anharmonicity
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2024 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2024-04-04
Date Accepted: 2024-07-18
Online publication date: 2024-08-14