数据驱动发展下一代镁离子固态电解质

杨方令, 佐藤龙平, 程建锋, 木須一彰, 王倩, 贾雪, 折茂慎一, 李昊

Data-Driven Viewpoint for Developing Next-Generation Mg-Ion Solid-State Electrolytes

Fang-Ling Yang, Ryuhei Sato, Eric Jianfeng Cheng, Kazuaki Kisu, Qian Wang, Xue Jia, Shin-ichi Orimo, Hao Li

Fig. 5. A proposed scheme for obtaining high-performance SSEs from a complex material space of divalent ion SSEs. Data mining will play a key role in capturing promising divalent ion SSE materials as the basis, and an integrated strategy across subsequent data mining, theoretical calculations and modeling, and experiments will be used to reveal the ionic migration mechanism and structure-performance relationships of the potential SSEs. Finally, the ionic migration of these SSEs will be accelerated by considering various optimization strategies.