Validation of predicted solution processed organic semiconductor properties

验证预测的溶液加工有机半导体特性

• 批准号: DP220102124
• 负责人: Prof Paul Burn
• 金额: $ 40.62万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220102124
• 关键词: Validation; predicted; solution; processed; organic

Controlling organic semiconductor film morphology at a molecular level is key to advancing the performance of optoelectronic devices such as large area organic light-emitting diode lighting, solar cells and sensors. The project aims to move from an empirical design cycle of material synthesis, device fabrication and testing to a more predictive approach where morphologies from molecular simulations are used to rationalise differences in experimentally measured optoelectronic properties. Outcomes will include unique insight into atomic-level structural details that determine device efficiency and an understanding of whether atomic simulations can be applied to accelerate improvements in device performance and translation to industry.

在分子水平上控制有机半导体膜的形态是推进光电设备（例如大面积有机发光二极管照明，太阳能电池和传感器）的性能的关键。该项目旨在从材料合成，装置制造和测试的经验设计周期转变为更具预测性的方法，其中使用分子模拟的形态来合理化实验测量的光电特性的差异。结果将包括对原子级结构细节的独特见解，这些细节确定了设备效率，并了解是否可以应用原子模拟来加速设备性能和转化为行业的改进。