首页|Findings from Henan University in Machine Learning Reported (Screening of Ionic Liquids for Efficient Co2 Cycloaddition Catalysis Under Mild Condition: a Combin ed Machine Learning and Dft Approach)
Findings from Henan University in Machine Learning Reported (Screening of Ionic Liquids for Efficient Co2 Cycloaddition Catalysis Under Mild Condition: a Combin ed Machine Learning and Dft Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Henan, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Theindustrial appli cation of ionic liquid-catalyzed CO2 cycloaddition reactions is impeded by harsh conditions.We propose a novel approach that utilizes machine learning and dens ity functional theory (DFT) toovercome this challenge.”
HenanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesIonic LiquidsMachine LearningSolventsHena n University
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