首页|Reports Outline Machine Learning Study Findings from Lanzhou University of Techn ology (Deep Potential Fitting and Mechanical Properties Study of Mgalsi Alloy)
Reports Outline Machine Learning Study Findings from Lanzhou University of Techn ology (Deep Potential Fitting and Mechanical Properties Study of Mgalsi Alloy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news reporting originating in Lanzhou, People’s Republic of China, by NewsRx journalists, research stated, “MgAlSi alloy materials have the main p roperties of light weight and high strength, good electrical and thermal conduct ivity and corrosion resistance, and have various applications in the industrial field, making an important contribution to the realization of lightweight and hi gh performance needs.” Funders for this research include National Natural Science Foundation of China ( NSFC), China Postdoctoral Science Foundation, Funds for Distinguished Young Scie ntists of Lanzhou University of Technology, China.
LanzhouPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningMolecular DynamicsPhysicsLanzhou University of Technology
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