Robotics & Machine Learning Daily News2024,Issue(Aug.9) :7-7.

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)

Robotics & Machine Learning Daily News2024,Issue(Aug.9) :7-7.

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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Abstract

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.”

Key words

Shenzhen/People’s Republic of China/As ia/Chemicals/Cyborgs/Electrochemicals/Emerging Technologies/Machine Learnin g/Physics/Thermodynamics/Sun Yat-sen University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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