Robotics & Machine Learning Daily News2024,Issue(Sep.2) :78-79.

Researchers from University of Electronic Science and Technology of China Report Recent Findings in Machine Learning (Rapid and Accurate Identification of Struc tural and Electronic Properties of Xenes Under Different Strains Via a ...)

Robotics & Machine Learning Daily News2024,Issue(Sep.2) :78-79.

Researchers from University of Electronic Science and Technology of China Report Recent Findings in Machine Learning (Rapid and Accurate Identification of Struc tural and Electronic Properties of Xenes Under Different Strains Via a ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Chengdu, P eople’s Republic of China, by NewsRx correspondents, researchstated, “Mono-elem ental two-dimensional materials (Xenes) are of supreme importance to new-type energy-electronic devices due to their outstanding and unique physical and electro nic properties. However, therapid and accurate identification of the structural and electronic properties of Xenes under various strainsremains a challenge, s ignificantly impeding the development of Xene-based energy-electronic devices.”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/University of Electronic Sc ience and Technology of China

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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