首页|Researchers from Shanghai University Report Recent Findings in Machine Learning (The Design and Discovery of Catalysts for Simultaneous Catalysis of Chlorobenzene and Nitrogen Oxides Via Domain Knowledge Guided Machine Learning)
Researchers from Shanghai University Report Recent Findings in Machine Learning (The Design and Discovery of Catalysts for Simultaneous Catalysis of Chlorobenzene and Nitrogen Oxides Via Domain Knowledge Guided Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reportingfrom Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “A domain knowledgeguided machine learning (ML) strategy is proposed to design and discover catalysts for the simultaneouscatalysis of chlorobenzene (CB) and nitrogen oxides (NOx). Symbolic regression (SR) is used to find ananalytic formula for the acidity of metallic ions and a few ML regression models are developed for the redoxability in terms of standard reduction potential (SRP) of metallic ions, resulting in the recommendationsof bifunctions catalysts.”
ShanghaiPeople’s Republic of ChinaAsiaAnionsAromatic HydrocarbonsBenzene DerivativesChlorinated HydrocarbonsChlorobenzenesCyborgsEmerging TechnologiesHydrocarbonsMachine LearningNitrogenNitrogen CompoundsNitrogen OxidesOrganic ChemicalsOxidesOxygen CompoundsShanghai University
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