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Prediction of new electrolytes for improved electrical energy storage. (2020–2022)

Abstract:
This project aims to identify new electrolyte solutions with suitable properties for use in improved electrical energy storage technologies. Identifying new electrolyte solutions is a crucial challenge for improving the performance of many technologies including energy storage. This project applies quantum mechanical calculation to develop a fast, accurate and predictive model of the properties of electrolyte solutions. High throughput computational screening based on this model can then identify new electrolytes that can be used in technologies such as energy storage. This should give Australia a competitive edge in the rapidly growing energy storage industry, while also accelerating the shift away from harmful fossil fuels.
Grant type:
ARC Discovery Early Career Researcher Award
Researchers:

  • Dr Tim Duignan

    Adjunct Research Fellow
    School of Chemical Engineering
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council