首页|Study Results from Shenzhen University Provide New Insights into Machine Learning (Electrochemical Promoted Dry Methane Reforming for Power and Syngas Co-generation In Solid Oxide Fuel Cells: Experiments, Modelling and Optimizations)
Study Results from Shenzhen University Provide New Insights into Machine Learning (Electrochemical Promoted Dry Methane Reforming for Power and Syngas Co-generation In Solid Oxide Fuel Cells: Experiments, Modelling and Optimizations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingoriginating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Thesolid oxide fuel cell (SOFC) combining dry methane reforming (DMR) is an efficient electrochemical powergeneration device that simultaneously converts greenhouse gases (methane and CO2) into syngas andproduces electricity power. The electrochemical promotion of catalysis effect (EPOC) in SOFC is knownto be promising for enhancing the syngas conversion e.g. dry methane reforming reaction upon applicationof electrical currents or potentials.”
ShenzhenPeople’s Republic of ChinaAsiaAlkanesChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachine LearningMethaneShenzhen University
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