Ionic Liquids are a promising class of electrolytes with numerous applications across energy storage, chemical separations, and carbon capture applications. These materials offer immense tunability through judicious cation, anion, and co-solvent selection. New technologies and experimental metrics are urgently-needed order to realize the full potential of the vast design space ILs-systems offer. In the Nordness group, we are developing new tools leveraging data-science and machine learning to i) predict the thermophysical properties of IL systems and ii) design entirely new task specific ILs for applications in energy storage and resource recovery.
