首页|Data on Machine Learning Described by Researchers at Wuhan University (Estimatin g the Lattice Thermal Conductivity of Alcocrnife High-entropy Alloy Using Machin e Learning)
Data on Machine Learning Described by Researchers at Wuhan University (Estimatin g the Lattice Thermal Conductivity of Alcocrnife High-entropy Alloy Using Machin e Learning)
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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 reporting from Hubei, People’s Republic of China, by NewsRx journalists, research stated, “The lattice thermal conducti vity stands as a pivotal thermos-physical parameter of high-entropy alloys; none theless, achieving precise predictions of the lattice thermal conductivity for h igh-entropy alloys poses a formidable challenge due to their complex composition and structure. In this study, machine learning models were built to predict the lattice thermal conductivity of AlCoCrNiFe high-entropy alloy based on molecular dynamic simulations.”
HubeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningWuhan University
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