Prediction of new electrolytes for improved electrical energy storage.

该项目旨在确定具有合适性能的新电解质溶液，用于改进的电能存储技术。确定新的电解质溶液是提高包括储能在内的许多技术性能的关键挑战。本项目应用量子力学计算来建立一个快速、准确和预测电解质溶液性质的模型。基于该模型的高通量计算筛选可以识别可用于储能等技术的新电解质。这将使澳大利亚在快速增长的储能行业中具有竞争优势，同时也将加速从有害化石燃料的转变。

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.