首页|Macau University of Science and Technology Reports Findings in Machine Learning (Discovery of highly efficient dual-atom catalysts for propane dehydrogenation a ssisted by machine learning)
Macau University of Science and Technology Reports Findings in Machine Learning (Discovery of highly efficient dual-atom catalysts for propane dehydrogenation a ssisted by machine learning)
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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 from Taipa, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“Propane dehyd rogenation (PDH) is a highly efficient approach for industrial production of pro pylene,and the dual-atom catalysts (DACs) provide new pathways in advancing ato mic catalysis for PDH withdual active sites. In this work, we have developed an efficient strategy to identify promising DACs for PDHreaction by combining hig h-throughput density functional theory (DFT) calculations and the machinelearning (ML) technique.”
TaipaPeople’s Republic of ChinaAsiaAlkanesCyborgsEmerging TechnologiesMachine LearningPropane
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