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Machine learning-guided deep eutectic electrolytes for high energy density and safe lithium-air batteries

Jinlu Song Ding Ding Lihong Chen Heyu Xiao Qisheng Fang Jianli Cheng Bin Wang

电化学与能源科学（英文）Issue(5)：41-51,11.

电化学与能源科学（英文）Issue(5)：41-51,11.DOI:10.1016/j.esci.2026.100532

Machine learning-guided deep eutectic electrolytes for high energy density and safe lithium-air batteries

Jinlu Song ¹Ding Ding ¹Lihong Chen ¹Heyu Xiao ¹Qisheng Fang ¹Jianli Cheng ¹Bin Wang¹

作者信息

1. Institute of Fundamental and Frontier Science and School of Optoelectronic Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China
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摘要

关键词

Lithium-air battery/Deep eutectic electrolyte/Machine learning/Ion transport network/Interface stability

Key words

Lithium-air battery/Deep eutectic electrolyte/Machine learning/Ion transport network/Interface stability

引用本文复制引用

Jinlu Song,Ding Ding,Lihong Chen,Heyu Xiao,Qisheng Fang,Jianli Cheng,Bin Wang..Machine learning-guided deep eutectic electrolytes for high energy density and safe lithium-air batteries[J].电化学与能源科学（英文）,2026,(5):41-51,11.

基金项目

The authors thank the financial support from the National Natural Science Foundation of China(No.52573221,U2330124,U20A2072,52072352,21875226),the Foundation for the Youth S&T Innovation Team of Sichuan Province(2020JDTD0035),Scientific Research Funds for Central Universities(ZYGX2025XJ016),and Sichuan Science and Technology Program(2023ZYD0026).Thanks to Scientific Compass(www.shiyanjia.com)for providing characterization assistance. （No.52573221,U2330124,U20A2072,52072352,21875226）

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