Maqola

Neural network and experimental thermodynamics study of YCrO3-δ for efficient solar thermochemical hydrogen production

Jian CongUniversity of Chinese Academy of Sciences, Beijing, 100049, ChinaTianzeng MaUniversity of Chinese Academy of SciencesZheshao ChangInstitute of Electrical EngineeringQiangqiang ZhangUniversity of Chinese Academy of Sciences, Beijing, 100049, ChinaJ. S. AkhatovPhysical-Technical Institute, SPA “Physics-Sun”, Tashkent, 100084, UzbekistanMingkai FuInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, ChinaXin LiInstitute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, China

Renewable Energyjournal2023en

Ochiq kirish: yoʻq

ABI

Annotatsiya

Annotatsiya mavjud emas.

Mavzular

Chemical Looping and Thermochemical Processes Adsorption and Cooling Systems Catalysis and Oxidation Reactions

Identifikatorlar

DOI: 10.1016/j.renene.2023.05.085

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