首页|Studies from Hefei University of Technology Provide New Data on Machine Learning (Machine Learning-based Techno-econoenvironmental Analysis of Co2-to-olefins P rocess for Screening the Optimal Catalyst and Hydrogen Color)
Studies from Hefei University of Technology Provide New Data on Machine Learning (Machine Learning-based Techno-econoenvironmental Analysis of Co2-to-olefins P rocess for Screening the Optimal Catalyst and Hydrogen Color)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. Accordingto news reporting from Hefei, People’s Republic of China, by NewsRx journalists, research stated, “CO2to light olefins (CTLO) is an attractive strategy for CO2 fixation to obtain high-value-added ch emicalproducts. Selecting the optimal catalyst and hydrogen source for the proc ess has become increasinglychallenging due to the wide range of developed catal ysts and diverse hydrogen sources available.”
HefeiPeople’s Republic of ChinaAsiaCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachine LearningHefei University of Technology
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