首页|Study Findings from Renmin University of China Advance Knowledge in Machine Learning (Inverse design machine learning model for metallic glasses with good glass-forming ability and properties)
Study Findings from Renmin University of China Advance Knowledge in Machine Learning (Inverse design machine learning model for metallic glasses with good glass-forming ability and properties)
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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 originatingfrom Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The design ofmetallic glasses (MGs) with good properties is one of the long-standing bottlenecks in materials scienceand engineering, which has been relying mostly on far less efficient traditional trial-and-error methods.”
Renmin University of ChinaBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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