Investigators at Nanjing University of Science and Technology Detail Findings in Machine Learning (Machine Learning Assisted Study of Phase and Properties In Co balt-free Alcr X Cufeni 2 High-entropy Alloys)

Robotics & Machine Learning Daily News2024，Issue(Oct.21) ：76-77.

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Investigators at Nanjing University of Science and Technology Detail Findings in Machine Learning (Machine Learning Assisted Study of Phase and Properties In Co balt-free Alcr X Cufeni 2 High-entropy Alloys)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting from Nanjing, People’ s Republic of China, by NewsRx journalists, research stated, “The application of machine learning (ML) accelerates the discovery of new materials, the prediction and optimization of properties, and the analysis of the correlation between structure and properties. The design, characterization, and mechanical properties of the novel AlCrxCuFeNi2 cobalt-free high-entropy alloys (HEAs) were investigated in this study.”

Key words

Nanjing/People’s Republic of China/Asia/Alloys/Cobalt/Cyborgs/Emerging Technologies/Machine Learning/Transition Elements/Nanjing University of Science and Technology

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出版年

2024

Robotics & Machine Learning Daily News

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