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Works cited by this work

46 works

Work: Integrated machine learning and genetic algorithm framework for optimizing methylcyclohexane dehydrogenation in liquid organic hydrogen carrier systems

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    Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz

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  2. Thermal management and power saving operations for improved energy efficiency within a renewable hydrogen energy system utilizing metal hydride hydrogen storage

    Naruki Endo, Kiyotaka Goshome, Tetsuhiko Maeda +3

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  3. Hydrogen storage and release from a new promising Liquid Organic Hydrogen Storage Carrier (LOHC): 2-methylindole

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  4. Dehydrogenation of methylcyclohexane over Pt Sn supported on Mg Al mixed metal oxides derived from layered double hydroxides

    Yan Jing, Weiyan Wang, Lei Miao +4

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  5. The double tuning effect of TiO2 on Pt catalyzed dehydrogenation of methylcyclohexane

    Xue Yang, Ye Song, Tiantian Cao +3

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  6. Liquid Organic Hydrogen Carriers and alternatives for international transport of renewable hydrogen

    M. Niermann, Sebastian Timmerberg, S. Drünert +1

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  8. Machine learning-based energy optimization for on-site SMR hydrogen production

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  10. Characteristics of hydrogen production from steam gasification of plant-originated lignocellulosic biomass and its prospects in Vietnam

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  11. Accelerating the structure search of catalysts with machine learning

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  12. Interpretable machine learning for knowledge generation in heterogeneous catalysis

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  13. Machine learning predicting wastewater properties of the aqueous phase derived from hydrothermal treatment of biomass

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  14. Machine learning application for predicting key properties of activated carbon produced from lignocellulosic biomass waste with chemical activation

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