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

Authors

Fang-Ling Yang, a Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan; b College of Physics, Sichuan University, Chengdu, 610065, China
Ryuhei Sato, a Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan
Eric Jian-Feng Cheng, a Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan
Kazuaki Kisu, c Institute for Materials Research (IMR), Tohoku University, Sendai, 980-8577, Japan
Qian Wang, a Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan; d College of Materials Science and Engineering, Sichuan University, Chengdu, 610064, China
Xue Jia, a Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan
Shin-ichi Orimo, a Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan; c Institute for Materials Research (IMR), Tohoku University, Sendai, 980-8577, Japan
Hao Li, a Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, JapanFollow

Corresponding Author

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 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.

Graphical Abstract

Keywords

Data mining; Magnesium-ion solid-state electrolytes; All-solid-state batteries; Magnesium-ion conductivity

DOI Link

https://doi.org/10.61558/2993-074X.3461

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Publication Date

2024-07-28

Online Available Date

2024-04-26

Revised Date

2024-04-24

Received Date

2024-02-16

Recommended Citation

Fang-Ling Yang, Ryuhei Sato, Eric Jian-Feng Cheng, Kazuaki Kisu, Qian Wang, Xue Jia, Shin-ichi Orimo, Hao Li. Data-Driven Viewpoint for Developing Next-Generation Mg-Ion Solid-State Electrolytes[J]. Journal of Electrochemistry, 2024 , 30(7): 2415001.
DOI: 10.61558/2993-074X.3461
Available at: https://jelectrochem.xmu.edu.cn/journal/vol30/iss7/3