首页|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)

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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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.”

ZhanjiangPeople’s Republic of ChinaA siaAlloysCyborgsEmerging TechnologiesMachine LearningGuangdong Ocean U niversity

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.4)