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.

该项目旨在寻找具有合适特性的新型电解质溶液，用于改进的电能存储技术。确定新的电解质解决方案是提高包括储能在内的许多技术性能的关键挑战。该项目应用量子力学计算来开发电解质溶液特性的快速、准确和预测模型。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能源存储行业中具有竞争优势，同时也加速摆脱有害化石燃料的进程。