Robotics & Machine Learning Daily News2024,Issue(Mar.27) :46-46.

Research from Beihang University Yields New Data on Machine Learning (Predicting and understanding the ductility of BCC high entropy alloys via knowledge-integr ated machine learning)

Robotics & Machine Learning Daily News2024,Issue(Mar.27) :46-46.

Research from Beihang University Yields New Data on Machine Learning (Predicting and understanding the ductility of BCC high entropy alloys via knowledge-integr ated machine learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news originating from Beijing, People's Rep ublic of China, by NewsRx correspondents, research stated, 'Despite the fact tha t body-centered cubic high entropy alloys (BCC HEAs) exhibit exceptional strengt hening mechanisms over a wide temperature range, their application is often hind ered by poor room temperature ductility. Consequently, the accurate prediction of BCC HEAs' ductility becomes critical in alloy design but is challenged by the intricate nature of these alloy systems.'

Key words

Beihang University/Beijing/People's Re public of China/Asia/Alloys/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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