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46 ta ish

Ish: 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

    Maqola20205 iqtibos
    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

    Maqola20203 iqtibos
    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

    Maqola20162 iqtibos
    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

    Maqola20182 iqtibos
    ABI

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

    Xue Yang, Ye Song, Tiantian Cao +3

    Maqola20202 iqtibos
    ABI

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

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

    Maqola20202 iqtibos
    ABI

  7. Sarlavhasiz

    Boshqa2 iqtibos
    ABI

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

    Jaewon Lee, Seokyoung Hong, Hyungtae Cho +4

    Maqola20212 iqtibos
    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

    Maqola20212 iqtibos
    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

    Maqola20212 iqtibos
    ABI

  11. Accelerating the structure search of catalysts with machine learning

    Eric Musa, FRANCIS DOHERTY, Bryan R. Goldsmith

    Maqola20212 iqtibos
    ABI

  12. Interpretable machine learning for knowledge generation in heterogeneous catalysis

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

    Maqola20222 iqtibos
    ABI

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

    Lijian Leng, Weijin Zhang, Tonggui Liu +6

    Maqola20222 iqtibos
    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

    Maqola20242 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

  19. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  20. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  21. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  22. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  23. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  24. Sarlavhasiz

    Boshqa1 iqtibos
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  25. Sarlavhasiz

    Boshqa1 iqtibos
    ABI