首页|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)
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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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.”
GanzhouPeople’s Republic of ChinaAsiaAlloysCyborgsEmerging TechnologiesMachine LearningJiangxi University of Science and Technology
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