首页|Researchers from China Academy of Engineering Physics Describe Findings in Machi ne Learning (Structural Mechanism of Glass Transition Uncovered By Unsupervised Machine Learning)
Researchers from China Academy of Engineering Physics Describe Findings in Machi ne Learning (Structural Mechanism of Glass Transition Uncovered By Unsupervised Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Sichuan, People’s Republic of China, by NewsRx journalists, research stated, “Uncovering thestructural origi ns of the ubiquitous dynamic arrest phenomenon at the glass transition has long been achallenge due to the difficulty in identifying a rational structural repr esentation from a disordered medium.To address this challenge, we propose a nov el approach based on unsupervised learning to define a set ofstructural fingerp rints.”
SichuanPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChina Academy of Engineerin g Physics
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