Machine-learning interatomic potentials for interfaces in all-solid-state batteries: Perspectives on training data, model selection, and validation

MRS Communications 2026

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Authors: Daeyoung Kim, Suyue Yuan, Brandon C. Wood, Liwen F. Wan

DOI: 10.1557/s43579-026-00928-9

Cited by: 3

References: 105

Fields of Study & Subjects

Machine Learning in Materials Science Advanced Battery Materials and Technologies Advancements in Battery Materials

References 105