首页|Findings in Machine Learning Reported from Shaanxi University of Science and Tec hnology (Machine-learning-assisted Hydrogen Adsorption Descriptor Design for Bil ayer Mxenes)
Findings in Machine Learning Reported from Shaanxi University of Science and Tec hnology (Machine-learning-assisted Hydrogen Adsorption Descriptor Design for Bil ayer Mxenes)
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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 reporting from Shaanxi, People’s Republ ic of China, by NewsRx journalists, research stated, “Currently, most of the MXe ne hydrogen storage materials with excellent performances are screened by empiri cal trial -and -error methods. All of them are single -layer materials, and they have difficulty meeting actual demands.” Funders for this research include National Natural Science Foundation of China ( NSFC), Xi’an Sci-ence and Technology Plan Project, Basic Research Plan of Natural Science in Shaanxi Province, ShaanxiProvincial Key R & D Program Funding Project.
ShaanxiPeople’s Republic of ChinaAsi aCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic Chemical sMachine LearningShaanxi University of Science and Technology
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