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Predictive capability of several Group-Contribution methods for viscosities of ionic liquids: A comparative study
S. M. Hosseini and H. Moslehi

The assessment of predictive capability of various GC methods could potentially guide the development of improved GC methods that offer more accurate predictions of viscosities of ionic liquids (ILs) across different temperature conditions and chemical compositions. This communication aims to provide a comparative study on the predictive capability of 4 GC methods for the 0.1 MPa viscosities of 17 ILs, for which the values were compiled from a large number of data sources (154 data sources). The GC methods under consideration included those that were developed by Lazzús-Villarroel, Chen et al., and two GC methods of Gardas-Coutinho (published in 2008 and 2009). The data sources used for the assessment covered a temperature range of 253.15-408.15 K. Our comparison results (in terms of average absolute relative deviations, AARDs) revealed the superiority of GC methods of Gardas-Coutinho (with AARD of 9.25% for 1789 data points examined) with respect to other 3 GC methods investigated as the AARDs of Lazzús-Pulgar-Villarroel, Chen et al., and the secondary method of Gardas-Coutinho were found to be 15.98% (for 1095 data points), 11.31% (for 2162 data points), and 9.85% (for 1907 data points), respectively.

Keywords: Predictive capability, Group-Contribution, Viscosity, ionic liquids