Robotics & Machine Learning Daily News2024,Issue(Sep.5) :80-80.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.5) :80-80.

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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Abstract

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.”

Key words

Jiangsu University/Zhenjiang/People’s Republic of China/Asia/Alloys/Cyborgs/Emerging Technologies/Machine Learnin g

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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