Investigators from Chongqing University of Science and Technology Have Reported New Data on Machine Learning (Insight To the Prediction of Co2 Solubility In Ion ic Liquids Based On the Interpretable Machine Learning Model)

Robotics & Machine Learning Daily News2024，Issue(Sep.6) ：105-106.

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Investigators from Chongqing University of Science and Technology Have Reported New Data on Machine Learning (Insight To the Prediction of Co2 Solubility In Ion ic Liquids Based On the Interpretable Machine Learning Model)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Researchers detail new data in Machine Learning. According to news originatingfrom Chongqing, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “In this work,we investigated t hree different machine learning (ML)-based models, i.e., gaussian process regres sion(GPR), LightGBM, and CatBoost, for predicting the solubility of CO2 in vari ous ionic liquids (ILs). Threemolecular descriptors, i.e., group contribution ( GC), molecular structure descriptors (MSD), and hybridGC-MSD are used in our th ree models.”

Key words

Chongqing/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Ionic Liquids/Machine Learning/Solvents/Chongqing University of Science and Technology

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出版年

2024

Robotics & Machine Learning Daily News

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