首页|Researchers from Hebei University of Technology Report Findings in Machine Learn ing (Machine Learning Assisted Prediction of Copper-based Catalysts Towards Carb on Dioxide Electroreduction Into Carbon Monoxide)
Researchers from Hebei University of Technology Report Findings in Machine Learn ing (Machine Learning Assisted Prediction of Copper-based Catalysts Towards Carb on Dioxide Electroreduction Into Carbon Monoxide)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting from Tianjin, People's Repu blic of China, by NewsRx journalists, research stated, “Copper-based catalyst is very active for electroreduction of carbon dioxide (CO2) to carbon monoxide (CO ). However, the Faraday efficiency of copper-based catalysts for CO production c an be affected by many complex factors, such as catalyst elemental composition, morphology, supporting substrate, synthesis method, catalyst size, electrolyte c oncentration, and test potential with unknown correlations, hindering the effici ent exploration of active copper-based CO2 reduction catalysts with high CO Fara day efficiency.”
TianjinPeople's Republic of ChinaAsiaAnionsCarbon DioxideCarbon MonoxideChemicalsCyborgsEmerging Technol ogiesInorganic Carbon CompoundsMachine LearningOxidesHebei University of Technology
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