首页|Chinese Academy of Sciences Reports Findings in Machine Learning (Machine Learning for Experimental Reactivity of a Set of Metal Clusters toward C-H Activation)
Chinese Academy of Sciences Reports Findings in Machine Learning (Machine Learning for Experimental Reactivity of a Set of Metal Clusters toward C-H Activation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Understanding th e mechanisms of C-H activation of alkanes is a very important research topic. Th ereactions of metal clusters with alkanes have been extensively studied to reve al the electronic featuresgoverning C-H activation, while the experimental clus ter reactivity was qualitatively interpreted case bycase in the literature.”The news reporters obtained a quote from the research from the Chinese Academy o f Sciences, “Herein,we prepared and mass-selected over 100 rhodium-based cluste rs (RhVO and RhCoO) to react with lightalkanes, enabling the determination of r eaction rate constants spanning six orders of magnitude. Asatisfactory model be ing able to quantitatively describe the rate data in terms of multiple cluster electronic features (average electron occupancy of valence s orbitals, the minimu m natural charge on themetal atom, cluster polarizability, and energy gap invol ved in the agostic interaction) has been constructedthrough a machine learning approach.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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