Robotics & Machine Learning Daily News2024,Issue(MAY.31) :12-13.

Findings in Machine Learning Reported from Shaanxi University of Science and Tec hnology (Machine-learning-assisted Hydrogen Adsorption Descriptor Design for Bil ayer Mxenes)

Robotics & Machine Learning Daily News2024,Issue(MAY.31) :12-13.

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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Abstract

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.

Key words

Shaanxi/People’s Republic of China/Asi a/Cyborgs/Elements/Emerging Technologies/Gases/Hydrogen/Inorganic Chemical s/Machine Learning/Shaanxi University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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