首页|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 ...)
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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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.”
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Electronic Sc ience and Technology of China
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