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RESEARCH PAPER · RSC Advances · 2024

Machine learning guided tuning charge distribution by composition in MOFs for oxygen evolution reaction

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Machine learning guided tuning charge distribution by composition in MOFs for oxygen evolution reactionOriginalA machine learning-assisted study of the formation of oxygen vacancies in anatase titanium dioxide9Comprehensive overview of machine learning applications in MOFs: from modeling processes to latest applications and design classifications26Machine-Learning-Assisted Synthesis of Bimetallic Metal–Organic Frameworks for the Optimized Oxygen Evolution Reaction21Two Birds, One Stone: Smart MOF Nanozymes for Dual Catalysis and Theranostics48Machine learning-optimized bioinspired N-doped carbon-wrapped trimetallic oxides for an efficient oxygen evolution reaction0Machine Learning and Domain Adaptation for Material Generalization in Electrocatalyst Evaluation: A Comprehensive Review2Lattice-confined structural transformations in covalent organic frameworks0Recent advances in dynamic reconstruction and performance optimization of Metal-Organic frameworks in electrocatalytic processes0

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  1. A machine learning-assisted study of the formation of oxygen vacancies in anatase titanium dioxide

    RSC Advances · 2024-01-01

    Dan Wang, Ronghua Zan, Xiaorong Zhu, Yuwei Zhang, Yu Wang, Yanhui Gu, Yafei Li

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  2. Comprehensive overview of machine learning applications in MOFs: from modeling processes to latest applications and design classifications

    Journal of Materials Chemistry A · 2024-12-17

    Yutong Liu, Yawen Dong, Hua Wu

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  3. Machine-Learning-Assisted Synthesis of Bimetallic Metal–Organic Frameworks for the Optimized Oxygen Evolution Reaction

    ACS Applied Materials & Interfaces · 2025-04-17

    Farhan Zafar, Salah M. El‐Bahy, Abdul Sami, Sadaf Ul Hassan, Naeem Akhtar, Adel Qlayel Alkhedaide, Hailing Ma, Yao Tong, Shuaifei Zhao

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  4. Two Birds, One Stone: Smart MOF Nanozymes for Dual Catalysis and Theranostics

    Small · 2025-10-30

    Mohammed Ali Dheyab, Wesam Abdullah, Azlan Bin Abdul Aziz, Nik Noor Ashikin Nik Ab Razak, Nursakinah Suardi, Saleh T. Alanezi, Mahmood Subhi Jameel, Farhank Saber Braim, Firas Fohely, Pegah Moradi Khaniabadi, Nazila Oladzadabbasabadi, Mehran Ghasemlou

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  5. Machine learning-optimized bioinspired N-doped carbon-wrapped trimetallic oxides for an efficient oxygen evolution reaction

    Nanoscale · 2026-01-01

    Farhan Zafar, Hamdy Khamees Thabet, Muhammad Asad, Mehar Muhammad Hamza Maqbool, Muhammad Ali Khan, Naeem Akhtar, Sadaf Ul Hassan, Muhammad Shahid Nazir

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  6. Machine Learning and Domain Adaptation for Material Generalization in Electrocatalyst Evaluation: A Comprehensive Review

    Archives of Computational Methods in Engineering · 2026-04-17

    Parmeshwar U. Laghane, Bhaskar R. Sathe, Pravin Laxmikant Yannawar

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  7. Lattice-confined structural transformations in covalent organic frameworks

    Chinese Chemical Letters · 2026-06-01

    Lin Li, Rengan Luo, Xinting Cai, Shuai Yuan

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  8. Recent advances in dynamic reconstruction and performance optimization of Metal-Organic frameworks in electrocatalytic processes

    Journal of Energy Chemistry · 2026-08-08

    Yifei Wang, Peiyun Zhou, Jing Zhao, Lele Gao, Xiubing Huang

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