The QSPR models to predict the solubility of CO₂ in ionic liquids based on least-squares support vector machines and genetic algorithm-multi linear regression

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• 作者：Iliad Mehraein ; Siavash Riahi ; ^{riahi@ut.ac.ir}
• 关键词：Ionic liquids ; Solubility ; Carbon dioxide ; QSPR ; Multi-linear regression ; Support vector machines
• 刊名：Journal of Molecular Liquids
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：225
• 期：Complete
• 页码：521-530
• 全文大小：1866 K
• 卷排序：225

文摘

Prediction of CO2 solubility in ionic liquids using different methods. Non-linear method is more practical for prediction of CO2 solubility in ILs. The solubility values are highly correlated with structural features of ILs. Anion and cation in ionic liquid molecules were optimized simultaneously.