首页|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)
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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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.”
ChongqingPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesIonic LiquidsMachine LearningSolventsChongqing University of Science and Technology
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