A Theoretical Case Study of the Generalisation of Machine-learned Potentials

Yangshuai Wang, Shashwat Patel, Christoph Ortner

Machine-learned interatomic potentials (MLIPs) are typically trained on datasets that encompass a restricted subset of possible input structures, which presents a potential challen…