Robotics & Machine Learning Daily News2024,Issue(Mar.25) :37-37.

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)

Robotics & Machine Learning Daily News2024,Issue(Mar.25) :37-37.

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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Abstract

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.”

Key words

Tianjin/People's Republic of China/Asia/Anions/Carbon Dioxide/Carbon Monoxide/Chemicals/Cyborgs/Emerging Technol ogies/Inorganic Carbon Compounds/Machine Learning/Oxides/Hebei University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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