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RESEARCH PAPER · International Journal of Hydrogen Energy · 2024

Prediction of electrochemical properties of La–Y–Ni-based hydrogen storage alloys based on machine learning

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Prediction of electrochemical properties of La–Y–Ni-based hydrogen storage alloys based on machine learningOriginalLu2CrMnO6 double perovskites: Sonochemical fabrication, optimization, characterization, and investigation of the electrochemical hydrogen storage properties5Accurate coal ignition temperature prediction through interpretable deep transfer learning with small-sample feature-level adaptive noise augmentation3A workflow-centric review of artificial intelligence in solid-state hydrogen storage: toward trustworthy AI for materials design0Pre-Learning and Data-Driven Machine Learning Dual-Agent Strategy for Accelerated AEMWE Design0Artificial intelligence-driven discovery and design of solid-state hydrogen storage materials8Thermodynamic modification of Mg-based hydrogen storage alloys: Strategies, mechanisms, and prospects0

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  1. Lu2CrMnO6 double perovskites: Sonochemical fabrication, optimization, characterization, and investigation of the electrochemical hydrogen storage properties

    International Journal of Hydrogen Energy · 2025-07-29

    Vahid Rahimkhoei, Masoud Salavati‐Niasari, Elmuez A. Dawi, Forat Hamzah Alsultany, Hadil Hussain Hamza, Masood Hamadanian

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  2. Accurate coal ignition temperature prediction through interpretable deep transfer learning with small-sample feature-level adaptive noise augmentation

    Energy Conversion and Management · 2025-10-11

    Yang Zhang, Rufei Wei, Shi’ao Wei, Xueting Zheng, Hongming Long

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  3. A workflow-centric review of artificial intelligence in solid-state hydrogen storage: toward trustworthy AI for materials design

    Journal of Materials Chemistry A · 2026-01-01

    Jianghao Cai, Junming Huang, Kang Ma, Yutian Zhuang, Junwei Zhao, Kai Ma, Shuai Dong, Wenfeng Fu, Zhengyang Gao, Weijie Yang

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  4. Pre-Learning and Data-Driven Machine Learning Dual-Agent Strategy for Accelerated AEMWE Design

    SSRN Electronic Journal · 2026-01-01

    Yuhao Jiao, Linhao Fan, Zhongyao Zhang, Chen Zhanfan, Xingang Li, Ruichao Wang, Qing Du, Kui Jiao

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  5. Artificial intelligence-driven discovery and design of solid-state hydrogen storage materials

    Green Energy & Environment · 2026-02-14

    Yuyi Chu, YanXin Li, Yanxi Lyu, Di Zhang, Hao Li, Weijie Yang, Jianqiu Li, Liang Zhang

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  6. Thermodynamic modification of Mg-based hydrogen storage alloys: Strategies, mechanisms, and prospects

    Renewable and Sustainable Energy Reviews · 2026-06-24

    Yuanchao Yang, Wen‐Gang Cui, Yaxiong Yang, Jindou Shi, Y Y Liu, Shengnan He, MF Zhang, Fan Gao, Fulai Qi, Xinqiang Wang, Hongge Pan

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