首页|Research Reports from Hong Kong University of Science and Technology Provide New Insights into Machine Learning (A Machine Learning Model for Predicting the Pro pagation Rate Coefficient in Free-Radical Polymerization)
Research Reports from Hong Kong University of Science and Technology Provide New Insights into Machine Learning (A Machine Learning Model for Predicting the Pro pagation Rate Coefficient in Free-Radical Polymerization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Hong Kong, People ’s Republic of China, by NewsRx correspondents, research stated, “The propagatio n rate coefficient (kp) is one of the most crucial kinetic parameters in free-ra dical polymerization (FRP) as it directly governs the rate of polymerization and the resulting molecular weight distribution.” Financial supporters for this research include Hong Kong Ph.D. Fellowship Scheme ; Hong Kong Research Grants Council Early Career Scheme. Our news journalists obtained a quote from the research from Hong Kong Universit y of Science and Technology: “The kp in FRP can typically be obtained through ex perimental measurements or quantum chemical calculations, both of which can be t ime consuming and resource intensive. Herein, we developed a machine learning mo del based solely on the structural features of monomers involved in FRP, utilizi ng molecular embedding and a Lasso regression algorithm to predict kp more effic iently and accurately. The result shows that the model achieves a mean absolute percentage error (MAPE) of only 5.49% in the predictions for four new monomers, which indicates that the model exhibits strong generalization capa bilities and provides reliable and robust predictions. In addition, this model c an accurately predict the influence of the ester side chain length of (meth)acry lates on kp, aligning well with established scientific knowledge.”
Hong Kong University of Science and Tech nologyHong KongPeople’s Republic of ChinaAsiaCyborgsEmerging Technolog iesFree RadicalsInorganic ChemicalsMachine LearningOrganic Chemicals
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