首页|Researchers from Chinese Academy of Sciences Describe Findings in Machine Learni ng (Predicting Heat Capacity of Molecular Fluids Using Interpretable Machine Lea rning Model)
Researchers from Chinese Academy of Sciences Describe Findings in Machine Learni ng (Predicting Heat Capacity of Molecular Fluids Using Interpretable Machine Lea rning Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating from Beijing, People’s Republ ic of China, by NewsRx correspondents, research stated, “Heat capacity at consta nt pressure (C-p) of a molecular liquid medium is not only a basic physical prop erty applicable in the calculation of microscopic characteristics but also a cru cial property in chemical engineering processes. In this work, we utilized machi ne learning (ML) methodologies based on an established molecular liquid database to develop predictive models for C-p of fluids.” Funders for this research include Project of Stable Support for a Youth Team in a Basic Research Field, Chinese Academy of Sciences, Science and Technology Rese arch and Development Plan Joint Foundation of Henan Province, Beijing Municipal Science & Technology Commission.
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
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