Abstract
In this communication, a reliable group contribution method is developed for estimation of surface tension of ionic liquids. A data set including 920 experimental data for 51 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 268.3 through 743.7K and a surface tension range of 0.02499 through 0.0647Nm−1. It employs a total of 19 sub-structures plus temperature to predict the surface tension. To better distinct the effects of anion and cation on the surface tension of ionic liquids, 12 sub-structures related to chemical structure of anion, and 7 substructures related to the chemical structure of cation were implemented. The results of this method show an average absolute relative deviation (AARD) of 3.6% from experimental data.
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