首页|Findings from Chinese Academy of Sciences Reveals New Findings on Machine Learni ng (Machine Learning Accelerated Discovery of Superconducting Two-dimensional Ja nus Transition Metal Sulfhydrates)
Findings from Chinese Academy of Sciences Reveals New Findings on Machine Learni ng (Machine Learning Accelerated Discovery of Superconducting Two-dimensional Ja nus Transition Metal Sulfhydrates)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting from Beijing, People's Republic of C hina, by NewsRx journalists, research stated, "The MoSH monolayer, one of the Ja nus transition metal sulfhydrates synthesized by stripping the top -layer S of M oS 2 and replacing it with H atoms [Wan et al. , ACS Nano 15 , 20319 (2021)], has been predicted to host strong coupling t wo -gap superconductivity with a calculated critical temperature T c of about 28 .58 K at atmospheric pressure. In this work, by using machine learning aided hig h -throughput calculations, we narrow down 180 possible configurations of two-di mensional Janus transition metal sulfhydrates ( MX H monolayers, where M = trans ition metal group elements and X = S, Se, and Te) to 20 stable metals." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Guangdong Basic and Applied Basic Research Foundation.
BeijingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
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