首页|Researchers’ Work from Jiangsu University Focuses on Machine Learning (Machine-L earning-Assisted Design of Novel TiZrNbVAl Refractory High-Entropy Alloys with E nhanced Ductility)
Researchers’ Work from Jiangsu University Focuses on Machine Learning (Machine-L earning-Assisted Design of Novel TiZrNbVAl Refractory High-Entropy Alloys with E nhanced Ductility)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news reportingfrom Zhenjiang, People’s Re public of China, by NewsRx journalists, research stated, “Refractory highentropy alloys (RHEAs) typically exhibit excellent high-temperature strength but limit ed ductility. Inthis study, a comprehensive machine learning strategy with inte grated material knowledge is proposed topredict the elongation of TiZrNbVAl RHE As.”
Jiangsu UniversityZhenjiangPeople’s Republic of ChinaAsiaAlloysCyborgsEmerging TechnologiesMachine Learnin g
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