@misc{indiciae7d296a58fde8,
  title = {Machine-learning interatomic potentials for interfaces in all-solid-state batteries: Perspectives on training data, model selection, and validation},
  author = {Kim, Kwangnam [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States). Laboratory for Energy Applications for the Future (LEAF)] (ORCID:0000000311491733) and Yuan, Suyue [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States). Laboratory for Energy Applications for the Future (LEAF)] and Wood, Brandon C. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States). Laboratory for Energy Applications for the Future (LEAF)] and Wan, Liwen F. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States). Laboratory for Energy Applications for the Future (LEAF)]},
  year = {2026},
  doi = {10.1557/s43579-026-00928-9},
  url = {https://www.osti.gov/biblio/3024472},
  note = {Source identifier: 3024472}
}