首页|Researchers from Jilin University Report Findings in Machine Learning (Applying Machine-learning Screening of Single Transition Metal Atoms Anchored On N-doped G-graphyne for Carbon Monoxide Electroreduction Toward C1 Products)
Researchers from Jilin University Report Findings in Machine Learning (Applying Machine-learning Screening of Single Transition Metal Atoms Anchored On N-doped G-graphyne for Carbon Monoxide Electroreduction Toward C1 Products)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating from Changchun, People’s Republic of China, by NewsRx correspondents,research stated, “Carbon monoxide electroreduction (COER) has been a key part of tandem electrolysis ofcarbon dioxide (CO2), in which searching for high catalytic performance COER electrocatalysts remainsa great challenge. Herein, by means of density functional theory (DFT) computations, we explored thepotential of a series of transition metal atoms anchored on N-doped gamma-graphyne (TM@N-GY, TMfrom Ti to Au) as the COER electrocatalysts.”
ChangchunPeople’s Republic of ChinaAsiaAnionsCarbon MonoxideChemicalsCyborgsEmerging TechnologiesInorganic Carbon CompoundsMachine LearningOxidesJilin University
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