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

Authors

Fangling Yang, Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan; College of Physics, Sichuan University, Chengdu, 610065, China
Ryuhei Sato, Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan
Eric Jianfeng Cheng, Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan
Kazuaki Kisu, Institute for Materials Research (IMR), Tohoku University, Sendai, 980-8577, Japan
Qian Wang, Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan; College of Materials Science and Engineering, Sichuan University. Chengdu, 610064, China
Xue Jia, Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan
Shin-ichi Orimo, Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan; Institute for Materials Research (IMR), Tohoku University, Sendai, 980-8577, Japan
Hao Li, Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan

Document Type

Viewpoint

Corresponding Author(s)

Hao Li (li.hao.b8@tohoku.ac.jp)

Abstract

Magnesium (Mg) is a promising alternative to lithium (Li) 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 Viewpoints article, we analyzed 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 for the challenges and opportunities in developing Mg-ion SSEs.

Graphical Abstract

Keywords

Data mining, Mg-ion solid-state electrolytes, all-solid-state batteries, Mg-ion conductivity

DOI

10.61558/2993-074X.3461

Online Date

4-26-2024

Recommended Citation

Fangling Yang, Ryuhei Sato, Eric Jianfeng Cheng, Kazuaki Kisu, Qian Wang, Xue Jia, Shin-ichi Orimo, and Hao Li. Data-Driven Viewpoints for Developing Next-Generation Mg-Ion Solid-State Electrolytes[J]. Journal of Electrochemistry, doi: 10.61558/2993-074X.3461.