首页|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)

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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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.”

GanzhouPeople’s Republic of ChinaAsi aChalcogensCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.16)