Integrated machine learning and genetic algorithm framework for optimizing methylcyclohexane dehydrogenation in liquid organic hydrogen carrier systems
Zihao XieMOE Key Laboratory of Energy Thermal Conversion & Control, School of Energy and Environment, Southeast University, Nanjing, 210096, ChinaAbdul SaboorMOE Key Laboratory of Energy Thermal Conversion & Control, School of Energy and Environment, Southeast University, Nanjing, 210096, ChinaFrancis KwartengMOE Key Laboratory of Energy Thermal Conversion & Control, School of Energy and Environment, Southeast University, Nanjing, 210096, ChinaKhusenov ArslonnazarDepartment of Cellulose and Woodworking Technology, Tashkent Institute of Chemical Technology, Tashkent, 100011, UzbekistanSaidakmalov SaidaloDepartment of Cellulose and Woodworking Technology, Tashkent Institute of Chemical Technology, Tashkent, 100011, UzbekistanKuen Kee HyunDepartment of Cellulose and Woodworking Technology, Tashkent Institute of Chemical Technology, Tashkent, 100011, UzbekistanSamir I. GadowDepartment of Agricultural Microbiology, Agriculture and Biology Research Institute, National Research Centre, 33 EI Buhouth St., Dokki, Cairo, 12622, EgyptLungang ChenMOE Key Laboratory of Energy Thermal Conversion & Control, School of Energy and Environment, Southeast University, Nanjing, 210096, ChinaRui XiaoMOE Key Laboratory of Energy Thermal Conversion & Control, School of Energy and Environment, Southeast University, Nanjing, 210096, ChinaZhicheng LuoMOE Key Laboratory of Energy Thermal Conversion & Control, School of Energy and Environment, Southeast University, Nanjing, 210096, China
ABI
Abstract
No abstract available.
Topics
Identifiers
Citations and references
Cited by 046 references
Metrics — AkademScholar · Coming soon