首页|Soochow University Reports Findings in Machine Learning (Influence factors of CO adsorption on C2N-supported dual-atom catalysts unveiled by machine learning an d twofold feature engineering)
Soochow University Reports Findings in Machine Learning (Influence factors of CO adsorption on C2N-supported dual-atom catalysts unveiled by machine learning an d twofold feature engineering)
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NETL
NSTL
Royal Soc Chemistry
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 Jiangsu, People’s Repu blic of China, by NewsRx correspondents, research stated, “Dualatom catalysts ( DACs) have emerged as a compelling frontier in the realm of the electrochemical carbon dioxide reduction reaction (CORR). However, elucidating the intrinsic pro perties of dual-atom pairs and their direct correlation with catalytic activity poses significant challenges.”
JiangsuPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesEngineeringMachine Learning
NETL
NSTL
Royal Soc Chemistry
