首页|Study Findings on Machine Learning Are Outlined in Reports from State Key Labora tory of Powder Metallurgy (Machine Learning Aided High-throughput First-principl es Calculations To Predict the Formation Enthalpy of S Phase)
Study Findings on Machine Learning Are Outlined in Reports from State Key Labora tory of Powder Metallurgy (Machine Learning Aided High-throughput First-principl es Calculations To Predict the Formation Enthalpy of S Phase)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Changsha, People’s Republic of China, by NewsRx editors, research stated, “The sigma phase isa topologicall y close-packed phase and can significantly influence the performance and propert ies ofmaterials. Accurate prediction the formation enthalpy of the sigma phase is crucial for the development ofhigh-performance materials.”
ChangshaPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningState Key Laboratory of Powder Metallurgy
NETL
NSTL
