Robotics & Machine Learning Daily News2024,Issue(Dec.17) :40-40.

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)

Robotics & Machine Learning Daily News2024,Issue(Dec.17) :40-40.

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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Abstract

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.”

Key words

Henan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Ionic Liquids/Machine Learning/Solvents/Hena n University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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