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.