电化学（中英文）2024，Vol.30Issue(7)：38-49,12.DOI:10.61558/2993-074X.3461
数据驱动发展下一代镁离子固态电解质
Data-Driven Viewpoint for Developing Next-Generation Mg-Ion Solid-State Electrolytes
摘要
Abstract
Magnesium(Mg)is a promising alternative to lithium(Li)as an anode material in solid-state batteries due to its abundance and high theoretical volumetric capacity.However,the sluggish Mg-ion conduction in the lattice of solid-state electrolytes(SSEs)is one of the key challenges that hamper the development of Mg-ion solid-state batteries.Though various Mg-ion SSEs have been reported in recent years,key insights are hard to be derived from a single literature report.Besides,the structure-performance relationships of Mg-ion SSEs need to be further unraveled to provide a more precise design guideline for SSEs.In this viewpoint article,we analyze the structural characteristics of the Mg-based SSEs with high ionic conductivity reported in the last four decades based upon data mining-we provide big-data-derived insights into the challenges and opportunities in developing next-generation Mg-ion SSEs.关键词
数据挖掘/镁离子固态电解质/全固态电池/镁离子传导Key words
Data mining/Magnesium-ion solid-state electrolytes/All-solid-state batteries/Magnesium-ion conductivity引用本文复制引用
杨方令,佐藤龙平,程建锋,木須一彰,王倩,贾雪,折茂慎一,李昊..数据驱动发展下一代镁离子固态电解质[J].电化学（中英文）,2024,30(7):38-49,12.基金项目
This project was supported by the Ensemble Grant for Early Career Researchers 2022-2023 and the 2023 Ensemble Continuation Grant of Tohoku University,the Hirose Foundation,and the AIMR Fusion Research Grant.It was also supported by JSPS KAKENHI Nos.JP23K13599,JP23K13703,JP22H01803,JP18H05513,and JP23K13542.F.Y.and Q.W.acknowledge the China Scholarship Council(CSC)to support their studies in Japan. （CSC）
