Robotics & Machine Learning Daily News2024,Issue(Dec.18) :60-61.

Reports Summarize Machine Learning Study Results from University of Science and Technology Beijing (Thermodynamic Calculationassisted Design of 500 Mpa High Pe rformance Steel By Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Dec.18) :60-61.

Reports Summarize Machine Learning Study Results from University of Science and Technology Beijing (Thermodynamic Calculationassisted Design of 500 Mpa High Pe rformance Steel By Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting fromBeijing, People’s Republic of China , by NewsRx journalists, research stated, “In order to rationally designQ500 lo w-alloy wind power steel with stable microstructure and properties within a larg e cooling raterange, this study proposed a design system that utilizes thermody namic database, machine learning (ML),and the multi-objective genetic optimizat ion algorithm (MOGA). Thermodynamic calculation has beenused to obtain a large amount of data on phase fractions and mechanical properties for various chemicalcomposition at different cooling rates.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/University of Science and T echnology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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