Data on Machine Learning Discussed by Researchers at Jiangxi University of Science and Technology (Alloying Element Distributions of Precipitates In Cu-cr Alloys Aided By Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Jan.26) ：20-21.

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Data on Machine Learning Discussed by Researchers at Jiangxi University of Science and Technology (Alloying Element Distributions of Precipitates In Cu-cr Alloys Aided 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 reportingoriginating from Ganzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Thepresence of the fcc Cr-rich precipitates is a significant factor for the excellent performance of Cu-Cr alloys.In this work, we proposed an efficient approach based on machine learning to study on the alloying elementdistributions of the fcc Cr-rich precipitates in Cu-Cr alloys.”

Key words

Ganzhou/People’s Republic of China/Asia/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Jiangxi University of Science and Technology

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出版年

2024

Robotics & Machine Learning Daily News

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