首页|Data on Machine Learning Discussed by Researchers at Chang’an University (High-t hroughput Screening of Single-atom Catalysts On 1 T-tmd for Highly Active and Se lective Co2 Reduction Reaction: Computational and Machine Learning …)
Data on Machine Learning Discussed by Researchers at Chang’an University (High-t hroughput Screening of Single-atom Catalysts On 1 T-tmd for Highly Active and Se lective Co2 Reduction Reaction: Computational and Machine Learning …)
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 DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating from Xi’an, People’s Republi c of China, by NewsRx correspondents, research stated, “Thestudy of transition metals and various possible surface compositions has sparked great interest in l ow-costmaterials, which exhibit high activity and selectivity in catalysis. Whi le various single-atom catalystsloaded on transition metal dichalcogenide (TMD) substrates with excellent CO2 reduction performancehave been identified, the r elationship between catalytic activity and the intrinsic properties of TMD single-atom catalysts remains unclear.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChang’an University
NETL
NSTL
