Prediction of ionic conductivity of imidazolium-based ionic liquids at different temperatures using multiple linear regression and support vector machine algorithms

The conductivity of various imidazolium-based ILs has been predicted via QSPR approach using MLR and SVM regression coupled with stepwise model-building. This will aid the screening of suitable ILs with desired conductivity for specific applications.

Prediction of the viscosity of imidazolium-based ionic liquids at different temperatures using the quantitative structure property relationship approach

A multilinear relationship between the viscosity and interaction energies using a stepwise model-building approach was applied to generate the correlation model.