首页|Research from Pusan National University Yields New Findings on Machine Learning (Predicting the stereoselectivity of chemical reactions by composite machine lea rning method)
Research from Pusan National University Yields New Findings on Machine Learning (Predicting the stereoselectivity of chemical reactions by composite machine lea rning method)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news reporting out of Pusan National University by NewsRx editors, research stated, "Stereoselective reactions have played a vit al role in the emergence of life, evolution, human biology, and medicine."Financial supporters for this research include National Science Foundation. Our news reporters obtained a quote from the research from Pusan National Univer sity: "However, for a long time, most industrial and academic efforts followed a trial-and-error approach for asymmetric synthesis in stereoselective reactions. In addition, most previous studies have been qualitatively focused on the influ ence of steric and electronic effects on stereoselective reactions. Therefore, q uantitatively understanding the stereoselectivity of a given chemical reaction i s extremely difficult. As proof of principle, this paper develops a novel compos ite machine learning method for quantitatively predicting the enantioselectivity representing the degree to which one enantiomer is preferentially produced from the reactions. Specifically, machine learning methods that are widely used in d ata analytics, including Random Forest, Support Vector Regression, and LASSO, ar e utilized. In addition, the Bayesian optimization and permutation importance te sts are provided for an in-depth understanding of reactions and accurate predict ion."
Pusan National UniversityCyborgsEmer ging TechnologiesMachine Learning
NETL
NSTL
