首页|New Machine Learning Findings from Guangdong University of Technology Described (Machine Learning and Dft Coupling: a Powerful Approach To Explore Organic Amine Catalysts for Ringopening Polymerization Reaction)
New Machine Learning Findings from Guangdong University of Technology Described (Machine Learning and Dft Coupling: a Powerful Approach To Explore Organic Amine Catalysts for Ringopening Polymerization Reaction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting from Guangdong, People's Republic of Chi na, by NewsRx journalists, research stated, "Recently, using well-known data to drive the chemical feature of catalysts for the specified reaction has emerged a s a prevalent approach in catalysis science. Amines as essential compounds play crucial roles in living organisms, pharmaceutical, agricultural applications, an d various chemical reactions." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Open Project of State Key Labo- ratory of Inorganic Synthesi s and Preparation of Jilin University, Guangdong Basic and Applied Basic Researc h Foundation.
GuangdongPeople's Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningGuangdong University of T echnology
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