Machine learning-assisted cross-domain prediction of ionic conductivity in sodium and lithium-based superionic conductors using facile descriptors

• Main Authors: Xu, Yijie, Zong, Yun, Hippalgaonkar, Kedar
• Other Authors: School of Materials Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Materials; Machine Learning; Batteries
• Online Access: https://hdl.handle.net/10356/145400
• Institution: Nanyang Technological University

Solid state lithium- and sodium-ion batteries utilize solid ionically conducting compounds as electrolytes. However, the ionic conductivity of such materials tends to be lower than their liquid counterparts, necessitating research efforts into finding suitable alternatives. The process of electrolyt...