首页|Data on Machine Learning Discussed by Researchers at South China University of T echnology (Prediction and Explanation of Properties In Multicomponent Polyuretha ne Elastomers: Integrating Molecular Dynamics and Machine Learning)
Data on Machine Learning Discussed by Researchers at South China University of T echnology (Prediction and Explanation of Properties In Multicomponent Polyuretha ne Elastomers: Integrating Molecular Dynamics and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reporting originatingin Guangdong, People’s Rep ublic of China, by NewsRx journalists, research stated, “Establishingquantitati ve connections among the chemical composition, molecular structure, and macrosco pic propertiesof multicomponent polyurethane elastomers remains a challenging t ask. Molecular dynamics (MD)has been extensively utilized in the study of vario us materials and serves as a crucial tool for exploring therelationship between structure and properties.”
GuangdongPeople’s Republic of ChinaA siaCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic Chemic alsMachine LearningMolecular DynamicsPhysicsSouth China University of Te chnology
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