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RESEARCH PAPER · ACS Engineering Au · 2026

Machine Learning for Catalytic Reaction Systems: A Framework for Complex Chemical Processes

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Machine Learning for Catalytic Reaction Systems: A Framework for Complex Chemical ProcessesOriginalMachine learning for hydrogen production via water splitting0Multivariate Analysis of CO 2 Electroreduction for Fuel and Value‐Added Chemical Production Using Explainable Machine Learning0Engineering pathways in photocatalytic alcohol splitting: A comprehensive review1Artificial Intelligence- and Machine Learning-Driven Strategies for Catalyst Design and Sustainable Chemical Processes5A method for optimizing catalyst preparation conditions based on machine learning and genetic algorithm0Machine learning-guided design of engineered metal-organic frameworks for sustainable hydrogen storage and production0Neural Network Approaches to Inverse Problems in Chemical Kinetics0

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  1. Machine learning for hydrogen production via water splitting

    Unknown journal · 2026-01-01

    Ramazan Yildirim

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  2. Multivariate Analysis of CO 2 Electroreduction for Fuel and Value‐Added Chemical Production Using Explainable Machine Learning

    International Journal of Energy Research · 2026-01-01

    Mehmet Erdem Günay, N. Alper Tapan, Lana K. S. Alzeer

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  3. Engineering pathways in photocatalytic alcohol splitting: A comprehensive review

    Advances in Colloid and Interface Science · 2026-04-29

    Rezvan Karimi, Zahra Nasri, Hossein Ghafuri

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  4. Artificial Intelligence- and Machine Learning-Driven Strategies for Catalyst Design and Sustainable Chemical Processes

    Processes · 2026-06-09

    Amra Bratovčić, Vesna Tomašić

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  5. A method for optimizing catalyst preparation conditions based on machine learning and genetic algorithm

    Molecular Catalysis · 2026-09-12

    Junhui Ao, Wei Wang, Ziyang Wang, Qianhong qiu, Changming Du

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  6. Machine learning-guided design of engineered metal-organic frameworks for sustainable hydrogen storage and production

    International Journal of Hydrogen Energy · 2026-09-18

    Sadegh Kaviani, Satyendra Kumar Satyarthi, Mkrtich Yeranosyan

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  7. Neural Network Approaches to Inverse Problems in Chemical Kinetics

    Industrial & Engineering Chemistry Research · 2026-09-23

    A. V. Starozhitskaya, Maria V. Magomedova, А. В. Волков

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