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RESEARCH PAPER · Materials Today Physics · 2025

A review on electrolyte innovation enabled by machine learning for energy storage applications

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A review on electrolyte innovation enabled by machine learning for energy storage applicationsOriginalAnion-based electrolyte chemistry for sodium-ion batteries: fundamentals, advances and perspectives12A transferable data driven framework for electrolyte discovery1Machine Learning‐Guided Design of Electrolytes for Rechargeable Batteries4Precision orientation of hydrogen evolution performance of iron-based electrocatalysts empowered by machine learning: From electronic structure regulation to rational construction0Review of AI-driven discovery of cathode anode and electrolyte materials for advancing sodium-ion batteries0

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  1. Anion-based electrolyte chemistry for sodium-ion batteries: fundamentals, advances and perspectives

    Chemical Science · 2025-12-09

    Shuyu Li, Yong‐Li Heng, Zhen‐Yi Gu, Xiaotong Wang, Yan Liu, Xinru Zhang, Zhong-Hui Sun, Dai‐Huo Liu, Bao Li, Xing‐Long Wu

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  2. A transferable data driven framework for electrolyte discovery

    Discover Energy · 2026-01-03

    Neal Kapadia, Jiaqi Ke, Laisuo Su

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  3. Machine Learning‐Guided Design of Electrolytes for Rechargeable Batteries

    Advanced Materials Technologies · 2026-01-20

    Sathya Narayanan Jagadeesan, Mihir Kalvakaalva, Jessica Liu, Jagjit Nanda, Xueli Zheng

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  4. Precision orientation of hydrogen evolution performance of iron-based electrocatalysts empowered by machine learning: From electronic structure regulation to rational construction

    Composites Science and Technology · 2026-05-07

    Yan Hu, Senlin Tian, Yingjie Li

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  5. Review of AI-driven discovery of cathode anode and electrolyte materials for advancing sodium-ion batteries

    Discover Industrial Chemistry and Materials · 2026-09-25

    Zhong Hu

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