TY  - RPRT
TI  - Machine-learning interatomic potentials for interfaces in all-solid-state batteries: Perspectives on training data, model selection, and validation
AU  - Kim, Kwangnam [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States). Laboratory for Energy Applications for the Future (LEAF)] (ORCID:0000000311491733)
AU  - Yuan, Suyue [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States). Laboratory for Energy Applications for the Future (LEAF)]
AU  - Wood, Brandon C. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States). Laboratory for Energy Applications for the Future (LEAF)]
AU  - Wan, Liwen F. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States). Laboratory for Energy Applications for the Future (LEAF)]
PY  - 2026
DO  - 10.1557/s43579-026-00928-9
UR  - https://www.osti.gov/biblio/3024472
ID  - 3024472
ER  -