A novel SVM-GCM model for prediction of surface tension of some ionic liquids at different temperatures

A novel SVM-GCM model for prediction of surface tension of some ionic liquids at different temperatures

In this study, a novel group contribution method (GCM) is developed to predict the surface tension of ionic liquids (ILs) using support vector machine (SVM) algorithms. A data set including 1225 experimental data for 133 ionic liquids collected from various references is used to develop and assess the predictive capability of the model. The data set covers a temperature range of 278.15 through 470.56 K and a surface tension range of 19.15 through 70.30 mN.m-1. It employs a total of 45 ...

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