Evaluating the Transferability of Machine-Learned Force Fields for Material Property Modeling

1 code implementation • 10 Jan 2023 • Shaswat Mohanty, Sanghyuk Yoo, Keonwook Kang, Wei Cai

Machine-learned force fields have generated significant interest in recent years as a tool for molecular dynamics (MD) simulations, with the aim of developing accurate and efficient models that can replace classical interatomic potentials.

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