Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Changsha, Pe ople’s Republic of China, by NewsRx journalists, research stated,“Accurately un derstanding the similarities and differences in the oxidation processes of oxida nts and derivedreactive oxygen species (ROS) is crucial for machine learning mo dels to achieve chemical accuracy andrationality when quantitatively predicting ROS oxidation rate constants (kAOP). In this study, we utilizedthirteen molecu lar fingerprints to express pollutant structures and combined six machine learni ng modelsto accurately predict the kAOP of three typical reactive oxygen specie s, ozone (O3), hydroxyl radical(center dot OH), and sulfate radical (SO4 center dot-), while exploring their degradation mechanisms.”
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