Machine learning interatomic potential enables interface-level insights into cathode/solid electrolyte adhesion in sodium-ion batteries

Journal of Energy Storage 2026

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Authors: Woojin Shin, Kyoungmin Min

DOI: 10.1016/j.est.2026.121104

Cited by: 2

References: 79

Fields of Study & Subjects

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

References 79