首页|Researchers from Zhengzhou University Provide Details of New Studies and Finding s in the Area of Machine Learning (Machine Learning-assisted Prediction and Inte rpretation of Electrochemical Corrosion Behavior In High-entropy Alloys)
Researchers from Zhengzhou University Provide Details of New Studies and Finding s in the Area of Machine Learning (Machine Learning-assisted Prediction and Inte rpretation of Electrochemical Corrosion Behavior In High-entropy Alloys)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Zhengzhou, People’s Republic of China, by NewsRx journalists, research stated, “In this study, machinelearni ng (ML) models were successfully employed to predict the short-term electrochemi cal corrosionbehavior of high-entropy alloys (HEAs) based on their chemical com positions. Considering the vastcompositional space of HEAs, which restricts the development of corrosion-resistant HEAs, and the lackof non-destructive method s to qualitatively assess their corrosion resistance, this work represents a significant advancement in the field.”
ZhengzhouPeople’s Republic of ChinaA siaAlloysChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachin e LearningZhengzhou University
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