Systematic Study on the Viscosity of Ionic Liquids: Measurement and Prediction

Dynamic viscosity for twenty-seven ionic liquids involving ions with molecular structures selected to infer the effects of molecular structure on fluids’ viscosity is reported in this work as a function of temperature. The viscosity data are analyzed considering these structural features and fitted according to Vogel–Fulcher–Tamman equation. Viscosity data were systematically analyzed to infer anion and cation effects on the property. COSMO-RS method was used to infer relationships between molecular level features and viscosity data for the considered families of ions. A Quantitative-Structure–Property-Relationship model was developed using a Genetic Function approximation from selected molecular descriptors.