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 …)

长安大学研究人员讨论的机器学习数据(高T Hroughput筛选1 T-TMD上高活性和选择性Co2还原反应的单原子催化剂：计算和机器学习…)

Robotics & Machine Learning Daily News2024，Issue(Nov.27) ：76-76.

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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 …)

长安大学研究人员讨论的机器学习数据(高T Hroughput筛选1 T-TMD上高活性和选择性Co2还原反应的单原子催化剂：计算和机器学习…)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可用。根据新闻报道来自中国人民共和国西安的研究报告，由NewsRx记者报道，“过渡金属和各种可能的表面成分的研究引起了人们对低成本的极大兴趣具有高活性和高选择性的催化材料。各种单原子催化剂负载过渡金属双卤族化合物(TMD)的CO2还原性能确定了催化活性与TMD信号本征性质之间的关系电子原子催化剂仍不清楚。

Abstract

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.”

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Chang’an University

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出版年

2024

Robotics & Machine Learning Daily News

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