Ionic liquids: A simple model to predict ion conductivity based on DFT derived physical parameters

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Abstract

A model able to a priori predict ion conductivities of ionic liquids (ILs) is a desired design tool. We here propose a set of simple conductivity models for ILs composed of small ions by only using data easily derived from standard DFT calculations as input; ion volume, ion mass, ion moment of inertia, and the ion-ion interaction strength. Hence these simple models are totally without any need for experimental parametrization. All model are made from fits of 22 ILs based on 12 different cations and 5 different anions, resulting in correlations vs. experiment of R 2 ≈0.95 and MAE of 25-36%. Given their (very) simple layout and how fast they can be applied (and re-used), the models allow for ample screening of new IL designs, while not aimed for perfect predictions per se.

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Nilsson-Hallén, J., Ahlström, B., Marczewski, M., & Johansson, P. (2019). Ionic liquids: A simple model to predict ion conductivity based on DFT derived physical parameters. Frontiers in Chemistry, 7(MAR). https://doi.org/10.3389/fchem.2019.00126

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