Robotics & Machine Learning Daily News2024,Issue(Jan.30) :29-29.

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)

Robotics & Machine Learning Daily News2024,Issue(Jan.30) :29-29.

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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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 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.”

Key words

Renmin University of China/Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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