首页|National University of Mongolia Reports Findings in Machine Learning (Amorphous MoS2 from a machine learning inter-atomic potential)
National University of Mongolia Reports Findings in Machine Learning (Amorphous MoS2 from a machine learning inter-atomic potential)
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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 originating from Ulaanbaatar, Mongolia, by NewsRx correspondents, research stated, “Amorphous molybdenum disulfide has shown potential as a hydrogen evolution catalyst, but the origin of its high act ivity is unclear, as is its atomic structure. Here, we have developed a classica l inter-atomic potential using the charge equilibration neural network method, a nd we have employed it to generate atomic models of amorphous MoS2 by melting an d quenching processes.”
UlaanbaatarMongoliaAsiaCyborgsEm erging TechnologiesMachine LearningMolybdenumTransition Elements
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