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RESEARCH PAPER · ACS Energy Letters · 2025

Machine-Learning-Accelerated Development of High-Nickel NCM Cathodes via Multivariable Co-optimization

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Machine-Learning-Accelerated Development of High-Nickel NCM Cathodes via Multivariable Co-optimizationOriginalRevisiting long-standing misconceptions in Ni-rich layered oxide cathodes for lithium-ion batteries0Artificial intelligence for carbon materials in electrochemical energy storage: Methods, applications, and perspectives0Lithium-ion power batteries: From material performance to system-level safety and sustainability0

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  1. Revisiting long-standing misconceptions in Ni-rich layered oxide cathodes for lithium-ion batteries

    Energy & Environmental Science · 2026-01-01

    Yunshan Zheng, Zhiqiang Fu, Lanlan Feng, Yankai Dai, Yijing Liu, Yiming Wang, Xiaoqian Xu, Xinpeng Luan, Yongbiao Mu, Cheng‐Zong Yuan, Baohua Li

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  2. Artificial intelligence for carbon materials in electrochemical energy storage: Methods, applications, and perspectives

    Energy Materials and Devices · 2026-07-30

    Zonglin Yi, Jiang Wang, Nairui Bai, Shengbin Zhang, Jiechen Guo, Yilin Wang, Yixuan Mao, Hao Liu, Li Li, Jiayuan Li, Yifan Chai, Fei Yang, Yusheng Ye, Xiaoming Li, Fangyuan Su, Guoning Xu

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  3. Lithium-ion power batteries: From material performance to system-level safety and sustainability

    Chemical Engineering Journal · 2026-08-18

    Keyu Chen, JiaJia Luan, Brooke Xi, Weihua Zhang, Hanyu Jin, Daying Guo, Xi'’an Chen, Shun Wang

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