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RESEARCH PAPER · Journal of Material Science and Technology · 2025

Machine learning-assisted prediction and optimization of electrocatalytic activity

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42 direct citing works

Machine learning-assisted prediction and optimization of electrocatalytic activityOriginalAI Foundations in China’s Medical Physiology Education: Pedagogical Practices and Systemic Challenges7Uncertainty-Aware Multi-Target Learning for Electrical and Dielectric Property Prediction of MgCuZn Ferrites0Metal-organic frameworks and their derivatives for green energy fuel: Hydrogen production2Machine Learning-Assisted Design Framework of Carbon Edge-Dominated Dual-Atom Catalysts for Urea Electrosynthesis7Design of dual-atom catalysts for CO2 reduction to C2 products: From synergistic mechanisms to machine learning guidance0Advances in electrochemical synthesis of heterocycles: Mechanistic insights and scalability0Fe-containing high-entropy oxides: An advanced material system for lithium-ion battery anodes2Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries0Electrocatalytic nitrogen reduction reaction: bridging catalyst design, mechanistic insights, and engineering toward practical implementation1Selective Catalytic Production of Urea: Unravelling the Pairwise Competition on p‐d Alloy Catalysts0Electrocatalytic nitrate reduction systems for chemical production: Mechanisms, process engineering and challenges0Ultraviolet laser ablation in liquid for synthesis of metastable nanocrystalline ordered transition-metal (oxy)hydroxides toward overall water splitting0Multiscale Regulation of Interfacial Microenvironments for High-Efficiency Electrochemical CO2 Reduction to C2+ Products: A Review and Perspective0Carbon corrosion in electrocatalytic advanced oxidation processes: pathway fingerprints, cross-scale evidence, and lifetime-oriented stabilization0Biomass-derived carbon electrocatalysts for zinc-air Batteries: A review of design strategies, machine learning acceleration, and future perspectives0Electrolysis of PET waste into value-added chemicals and hydrogen: a review0

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    Advances in Medical Education and Practice · 2025-08-01

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  2. Uncertainty-Aware Multi-Target Learning for Electrical and Dielectric Property Prediction of MgCuZn Ferrites

    Procedia Computer Science · 2026-01-01

    Sushil Krishnan, J Anuradha, Madhuri W

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  3. Metal-organic frameworks and their derivatives for green energy fuel: Hydrogen production

    Renewable and Sustainable Energy Reviews · 2026-02-19

    Dhruvi Kher, Raeesh Muhammad, Sandeep Kumar, Vijay Gupta, Swapnil Varhade, Brahim Aïssa, Manas Pal, Krunal Modi, Hyunchul Oh, Abdulkarem I. Amhamed

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  4. Machine Learning-Assisted Design Framework of Carbon Edge-Dominated Dual-Atom Catalysts for Urea Electrosynthesis

    ACS Nano · 2026-04-21

    Yun Han, Qingchao Fang, Qilong Wu, Hanqing Yin, Md Tarikal Nasir, Xin Mao, Qin Li, Xiangdong Yao, Aijun Du

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  5. Design of dual-atom catalysts for CO2 reduction to C2 products: From synergistic mechanisms to machine learning guidance

    Chemical Engineering Journal · 2026-04-25

    J H Li, Zekun Zhang, 马若欣, Luping Zhang, Xixue He, Wei Yan, Hao Xu

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  6. Advances in electrochemical synthesis of heterocycles: Mechanistic insights and scalability

    Green Technologies and Sustainability · 2026-05-01

    Wei Zhao, Xiaohui Yang, Yang Yu, Jonathan B. Baell, Fei Huang

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  7. Fe-containing high-entropy oxides: An advanced material system for lithium-ion battery anodes

    International Journal of Minerals Metallurgy and Materials · 2026-05-01

    Zi‐Yu Dong, Nuo Xu, Jiayi Ma, Pengfei Wang, Yuhang Zhang, Liyan Tian, Lina Zhao, Xuecheng Chen, Fanian Shi

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  8. Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries

    InfoScience. · 2026-06-11

    T H Wang, Yu Meng, Tianhao Chen, Xiangfen Jiang, Yoshio Bando, Jinjue Zeng, Xuebin Wang

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  9. Electrocatalytic nitrogen reduction reaction: bridging catalyst design, mechanistic insights, and engineering toward practical implementation

    Journal of Electroanalytical Chemistry · 2026-06-23

    Shasha Lu, Qi Wang, Zhenlin Mo, Baojun Liu

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  10. Selective Catalytic Production of Urea: Unravelling the Pairwise Competition on p‐d Alloy Catalysts

    Advanced Science · 2026-07-21

    Qingchao Fang, Yun Han, Md Tarikal Nasir, Fuyong Qin, Wanhu Tian, Hanqing Yin, Aijun Du

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  11. Electrocatalytic nitrate reduction systems for chemical production: Mechanisms, process engineering and challenges

    CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION) · 2026-08-07

    Haoye Wang, Xinhua Qi, Richard L. Smith, Xinhua Qi

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  12. Ultraviolet laser ablation in liquid for synthesis of metastable nanocrystalline ordered transition-metal (oxy)hydroxides toward overall water splitting

    International Journal of Hydrogen Energy · 2026-08-19

    Xu Liu, Zihan Wang, Jinlong Zhang, Yantao Sun, Xianyu Chu, Long Yuan, Hang Xu, Xiaotian Yang, Yumei Zhang

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  13. Multiscale Regulation of Interfacial Microenvironments for High-Efficiency Electrochemical CO2 Reduction to C2+ Products: A Review and Perspective

    Energy & Fuels · 2026-09-30

    Weijun Kong, Han Wang, Junhao Tian, Yuexin Wang, Yihang Song, Yanqiang Kong, Lijun Yang

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  14. Carbon corrosion in electrocatalytic advanced oxidation processes: pathway fingerprints, cross-scale evidence, and lifetime-oriented stabilization

    Separation and Purification Technology · 2026-10-01

    Shihai Cao, Meng Di, Xiangchi Guo, Yijia Yang, Yintian Wang, Yan Wu, Zhendong Hao, Shuaishuai Lu

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  15. Biomass-derived carbon electrocatalysts for zinc-air Batteries: A review of design strategies, machine learning acceleration, and future perspectives

    Energy Reviews · 2026-10-04

    Wensheng Jiang, Qian Lu, Jie Wang, Lei Shi, Xiaohong Zou, Shu Zhang

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  16. Electrolysis of PET waste into value-added chemicals and hydrogen: a review

    International Journal of Hydrogen Energy · 2026-10-11

    Siu Hua Chang

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