首页|North Dakota State University Researchers Update Understanding of Machine Learni ng (Machine learning analysis of a large set of homopolymers to predict glass tr ansition temperatures)
North Dakota State University Researchers Update Understanding of Machine Learni ng (Machine learning analysis of a large set of homopolymers to predict glass tr ansition temperatures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from North Dakota S tate University by NewsRx correspondents, research stated, “Glass transition tem perature of polymers, Tg, is an important thermophysical property, which sometim es can be difficult to measure experimentally. In this regard, data-driven machi ne learning approaches are important alternatives to assess Tg values, in a high -throughput way.”
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