首页|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)
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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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.'
Beihang UniversityBeijingPeople's Re public of ChinaAsiaAlloysCyborgsEmerging TechnologiesMachine Learning
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