Studies in the Area of Machine Learning Reported from Guangdong Ocean University (Accelerated Discovery of Refractory Highentropy Alloys for Strength-ductility Co-optimization: an Exploration In Nbtazrhfmo System By Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Nov.4) ：18-18.

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Studies in the Area of Machine Learning Reported from Guangdong Ocean University (Accelerated Discovery of Refractory Highentropy Alloys for Strength-ductility Co-optimization: an Exploration In Nbtazrhfmo System By Machine Learning)

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Abstract

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 out of Zhanjiang, Peo ple’s Republic of China, by NewsRx editors, research stated, “High temperature ( HT) strength and room temperature (RT) ductility trade-offs are always unavoidab le in the design of refractory high entropy alloys (RHEAs). Exploring the vast c hemistry space to find optimally strong and ductile RHEAs remains a highly chall enging task.”

Key words

Zhanjiang/People’s Republic of China/A sia/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Guangdong Ocean U niversity

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出版年

2024

Robotics & Machine Learning Daily News

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