Abstract
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.”
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