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RESEARCH PAPER · Journal of Materials Chemistry A · 2025

Machine-learning-aided screening of inorganic lithium solid-state electrolytes with a wide electrochemical window

Jiajing Chen, Jiang Lu, Shendong Tan, Jun Yang, Zihui Li, Chen Bai, Xiang Zhang, Rongao Li, Yaoshu Xie, Ming Liu, Yan‐Bing He, Tingzheng Hou

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Machine-learning-aided screening of inorganic lithium solid-state electrolytes with a wide electrochemical windowOriginalAI agents for solid electrolytes: opportunities, challenges, and future directions14Introducing Jahn‐Teller Distortion in Inorganic Solid‐State Electrolytes to Improve Ionic Conductivity1Data-driven inorganic material design for future all-solid-state batteries: Innovations and perspectives2Machine learning drives a new paradigm in inorganic solid-state electrolytes research2Machine learning-accelerated prediction of the electrochemical window for electrolyte solvents using multiple quantum-chemical descriptors0Towards high-performance halide electrolytes: Data-driven approaches for materials design and synthesis2Machine Learning and Theoretical Computation Synergy Advancing Halide Electrolytes Toward All‐Solid‐State Lithium Batteries: Recent Advances, Challenges, and Perspectives1

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  1. AI agents for solid electrolytes: opportunities, challenges, and future directions

    AI Agent · 2025-12-31

    Qian Wang, Ryuhei Sato, Regina García-Méndez, Woosun Jang, Pengfei Ou, Aloysius Soon, Jie Zhao, Xiaonan Wang, Shin-ichi Orimo, Eric Jianfeng Cheng

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  2. Introducing Jahn‐Teller Distortion in Inorganic Solid‐State Electrolytes to Improve Ionic Conductivity

    Small · 2026-01-17

    Xiang Xu, Zhiliang Xiu, Huaping Zhao, Yong Lei, Yongzhong Wu, Xiaopeng Hao

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  3. Data-driven inorganic material design for future all-solid-state batteries: Innovations and perspectives

    Future Batteries · 2026-02-01

    Xiao Chen, Kai Shi, C. Q. Jiang, Yunhai Zhu, Xiaoliang Yu

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  4. Machine learning drives a new paradigm in inorganic solid-state electrolytes research

    Computational Materials Today · 2026-02-26

    Xiang Yin, Jun Ma, Shu Zhang, Guanglei Cui

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  5. Machine learning-accelerated prediction of the electrochemical window for electrolyte solvents using multiple quantum-chemical descriptors

    Computational and Theoretical Chemistry · 2026-04-13

    Ling Chen, Bo Li, Hujun Shen

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  6. Towards high-performance halide electrolytes: Data-driven approaches for materials design and synthesis

    Energy storage materials · 2026-06-14

    Zhihao Xing, Ying Luo, Wei Zheng, Junlin Wang, Quansheng Zhang, Zhuang Zheng, Jingying Xie, Baoyu Sun

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  7. Machine Learning and Theoretical Computation Synergy Advancing Halide Electrolytes Toward All‐Solid‐State Lithium Batteries: Recent Advances, Challenges, and Perspectives

    Advanced Functional Materials · 2026-08-06

    Jiahui Ye, Ming Gao, Minyu Jia, Jinkai Li, Guangbin Duan, Linrui Hou, Changzhou Yuan, Zongming Liu

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