首页|Findings on Machine Learning Discussed by Investigators at Sun Yat-sen Universit y (Thermodynamics and Catalytic Activity of the Reduced Cu On a Cu2o Surface Fro m Machine Learning Atomic Simulation)
Findings on Machine Learning Discussed by Investigators at Sun Yat-sen Universit y (Thermodynamics and Catalytic Activity of the Reduced Cu On a Cu2o Surface Fro m Machine Learning Atomic Simulation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting fromShenzhen, People’s Republic of Chin a, by NewsRx journalists, research stated, “Electrochemical carbondioxide reduc tion, converting CO2 into high-value-added chemical products, is a key technolog y to realizea natural carbon cycle. As one of the most effective catalysts, oxi de-derived copper (OD-Cu) is widelyused in CO2 reduction because of its ability to produce hydrocarbons.”
ShenzhenPeople’s Republic of ChinaAs iaChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachine Learnin gPhysicsThermodynamicsSun Yat-sen University
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