首页|Chongqing University Reports Findings in Machine Learning (Machine learning for predicting halogen radical reactivity toward aqueous organic chemicals)
Chongqing University Reports Findings in Machine Learning (Machine learning for predicting halogen radical reactivity toward aqueous organic chemicals)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating in Chongqing, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Rapid advances in machine learning (ML) provide fast, accurate, and widely applicable methods for predicting free radical-mediated organic pollutant reactivity. In this study , the rate constants (logk) of four halogen radicals were predicted using Morgan fingerprint (MF) and Mordred descriptor (MD) in combination with a series of ML models.”
ChongqingPeople's Republic of ChinaAsiaChemicalsCyborgsEmerging TechnologiesMachine Learning
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