首页|Investigators at Zhengzhou University Describe Findings in Machine Learning (Pha se Prediction of High-entropy Alloys Based On Machine Learning and an Improved I nformation Fusion Approach)
Investigators at Zhengzhou University Describe Findings in Machine Learning (Pha se Prediction of High-entropy Alloys Based On Machine Learning and an Improved I nformation Fusion Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news originating from Zhengzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The phase design of high entropy alloys (HEAs) is an important issue since the phase structure af fects the comprehensive properties of HEAs. Accurate prediction of phase classif ication can accelerate material design.”
ZhengzhouPeople’s Republic of ChinaAsiaAlloysCyborgsEmerging TechnologiesMachine LearningZhengzhou University
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