Jiangxi University of Science and Technology Reports Findings in Machine Learnin g (Machine Learning-Assisted Study of RENxC6-x- Doped Graphene as Potential Elect rocatalysts for Oxygen Electrode Reactions)

Robotics & Machine Learning Daily News2024，Issue(MAY.16) ：77-77.

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Jiangxi University of Science and Technology Reports Findings in Machine Learnin g (Machine Learning-Assisted Study of RENxC6-x- Doped Graphene as Potential Elect rocatalysts for Oxygen Electrode Reactions)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Ganzhou, People’s Repu blic of China, by NewsRx correspondents, research stated, “In the application of renewable energy, the oxidation-reduction reaction (ORR) and oxygen evolution r eaction (OER) are two crucial reactions. Single-atom catalysts (SACs) based on m etal-doped graphene have been widely employed due to their high activity and hig h atom utilization efficiency.”

Key words

Ganzhou/People’s Republic of China/Asi a/Chalcogens/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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