首页|Researchers from Beijing Jiaotong University Describe Findings in Machine Learni ng (Machine Learning Accelerates the Screening of Single-atom Catalysts Towards Co2 Electroreduction)
Researchers from Beijing Jiaotong University Describe Findings in Machine Learni ng (Machine Learning Accelerates the Screening of Single-atom Catalysts Towards Co2 Electroreduction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating in Beijing, People’s Republi c of China, by NewsRx journalists, research stated, “With the gradual increase o f global warming and energy crisis, electrocatalytic reduction of CO2 is necessa ry to alleviate atmospheric contamination and produce value-added fuels and chem icals effectively. As promising heterogeneous candidates, single-atom catalysts (SACs) are prospective for CO2 reduction with high atomic efficiency and unique electronic structure.” Funders for this research include Fundamental Research Funds for the Central Uni versities, National Natural Science Foundation of China (NSFC), Natural Science Foundation of Hebei Province.
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningBeijing Jiaotong University
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