首页|Findings from Donghua University Broaden Understanding of Machine Learning (Adva ncing the Prediction of Crystalline Phases In Glass-ceramics Via Machine Learnin g)
Findings from Donghua University Broaden Understanding of Machine Learning (Adva ncing the Prediction of Crystalline Phases In Glass-ceramics Via Machine Learnin g)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Lithium aluminosilicate(LAS) gl ass-ceramics are widely utilized in diverse application, owing to their outstand ing properties suchas high transparency, high fracture toughness and ultra-low thermal expansion. The development of LASglass-ceramics has traditionally relie d on the phase diagram to identify primary crystalline phases.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningDonghua University
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