摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者从中华人民共和国北京发来的新闻报道，研究表明：“MoSH单层，一种通过剥离MoS2顶层S并用H原子取代而合成的Ja nus过渡金属硫水合物[Wan等人，ACS Nano 15，20319(2021)]，本文利用机器学习辅助的高通量计算,缩小了二维Janus过渡金属硫水合物(MX H单分子膜,其中M=反式金属族元素,X=S,Se,Se,MX H单分子膜)的180种可能构型。和Te)至20种稳定金属。本研究的资助单位包括国家自然科学基金(NSFC)、广东省基础与应用基础研究基金。
Abstract
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.
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