首页|New Machine Learning Findings from Xiamen University Described (P-d Orbital Coup ling In Silicon-based Dual-atom Catalysts for Enhanced Co2 Reduction: Insight In to Electron Regulation of Active Center and Coordination Atoms)
New Machine Learning Findings from Xiamen University Described (P-d Orbital Coup ling In Silicon-based Dual-atom Catalysts for Enhanced Co2 Reduction: Insight In to Electron Regulation of Active Center and Coordination Atoms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Xiamen, People ’s Republic of China, by NewsRx journalists, research stated,“Transition metal ™ dual-atom catalysts (DACs) show promise for carbon dioxide reduction reaction(CO2RR) through d-d orbital cooperative interactions, but their effectiveness is often curtailed by thelinear scaling relations between *CO and *CHO on transit ion metal sites, typically resulting in CO as thepredominant product. Specifica lly, the p-d orbital coupling may exert further influence to regulate theelectr onic properties and catalytic activity of DACs, which will be of great significa nce for promotingCO2RR.”
XiamenPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXiamen University
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