Prediction of new electrolytes for improved electrical energy storage.

预测用于改善电能存储的新电解质。

• 批准号: DE200100794
• 负责人: Dr Timothy Duignan
• 金额: $ 29.42万
• 依托单位: Griffith University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-06-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE200100794
• 关键词: Prediction; new; electrolytes; improved; electrical

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.

该项目旨在确定具有适当特性的新电解质溶液，可用于改进的电源储能技术。识别新的电解质溶液是改善包括能量存储在内的许多技术的性能的至关重要挑战。该项目应用量子机械计算，以开发电解质溶液性能的快速，准确和预测的模型。然后，基于此模型的高吞吐量计算筛选可以识别可用于储能等技术中的新电解质。这应该使澳大利亚在迅速发展的储能行业中具有竞争优势，同时也加速了从有害化石燃料的转变。