首页|Data on Machine Learning Described by Researchers at ZhouKou Normal University ( Using Machine Learning To Forecast the Conductive Substrate-supported Heteroatom -doped Metal Compound Electrocatalysts for Hydrogen Evolution Reaction)
Data on Machine Learning Described by Researchers at ZhouKou Normal University ( Using Machine Learning To Forecast the Conductive Substrate-supported Heteroatom -doped Metal Compound Electrocatalysts for Hydrogen Evolution Reaction)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning.According to news originating from Zhoukou, People’s Republic of China, by NewsRx correspondents, research stated, “The heteroatomdoped metalli c compounds supported on conductive substrates are excellent catalysts for the h ydrogen evolution reaction (HER) thanks to their tunable properties, e.g., metal lic and nonmetallic compositions, especially bimetallic active centers and their synergistic effect, as well as the tunable morphology and interaction between t he active centers and substrate.Only the optimal combination between these adju stable properties and other external factors could endow the remarkable HER cata lytic activity of the catalysts.”
ZhoukouPeople’s Republic of ChinaAsi aCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic Chemical sMachine LearningZhouKou Normal University
NETL
NSTL
