Robotics & Machine Learning Daily News2024,Issue(Aug.1) :116-117.

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)

Robotics & Machine Learning Daily News2024,Issue(Aug.1) :116-117.

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)

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Abstract

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.”

Key words

Changsha/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/State Key Laboratory of Powder Metallurgy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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