首页|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)
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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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.”
NanjingPeople’s Republic of ChinaAsiaAlloysCobaltCyborgsEmerging TechnologiesMachine LearningTransition ElementsNanjing University of Science and Technology
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