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46 та иш

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

  1. A comparative analysis of gradient boosting algorithms

    Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz

    Мақола20205 иқтибос
    ABI

  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

    Мақола20203 иқтибос
    ABI

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

    Linlin Li, Ming Yang, Yuan Dong +2

    Мақола20162 иқтибос
    ABI

  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

    Мақола20182 иқтибос
    ABI

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

    Xue Yang, Ye Song, Tiantian Cao +3

    Мақола20202 иқтибос
    ABI

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

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

    Мақола20202 иқтибос
    ABI

  7. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

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

    Jaewon Lee, Seokyoung Hong, Hyungtae Cho +4

    Мақола20212 иқтибос
    ABI

  9. Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening

    Jie Li, Lanjia Pan, Manu Suvarna +1

    Мақола20212 иқтибос
    ABI

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

    Anh Tuan Hoang, Zuohua Huang, Sandro Nižetić +7

    Мақола20212 иқтибос
    ABI

  11. Accelerating the structure search of catalysts with machine learning

    Eric Musa, FRANCIS DOHERTY, Bryan R. Goldsmith

    Мақола20212 иқтибос
    ABI

  12. Interpretable machine learning for knowledge generation in heterogeneous catalysis

    Jacques A. Esterhuizen, Bryan R. Goldsmith, Suljo Linic

    Мақола20222 иқтибос
    ABI

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

    Lijian Leng, Weijin Zhang, Tonggui Liu +6

    Мақола20222 иқтибос
    ABI

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

    Rongge Zou, Zhibin Yang, Jiahui Zhang +8

    Мақола20242 иқтибос
    ABI

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    Бошқа1 иқтибос
    ABI

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    Бошқа1 иқтибос
    ABI

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    Бошқа1 иқтибос
    ABI

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    Бошқа1 иқтибос
    ABI

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    Бошқа1 иқтибос
    ABI

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    Бошқа1 иқтибос
    ABI

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    Бошқа1 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI