Linking Morphology to Conductivity in Self-assembled Organic Electronics

将自组装有机电子器件的形态与电导率联系起来

• 批准号: 2442779
• 金额: --
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2442779
• 关键词: Linking; Morphology; Conductivity; Self; assembled

Modern technologies such as smart phones, solar panels, sensors and computer rely on precious and semi-precious metals in order for them to work. However, the acquisition, mining and disposal of these rapidly-depleting metals have many issues. The use of organic materials is a possible alternative. However, a problem with organic-based materials is that there is so much possibility not only in the molecular structure, but also the assembly of this molecule to produce different aggregates, post-assembly processing and then drying in to thin films. With so many different iterations of the same molecule let alone different molecules, it can be overwhelming knowing where to start. We aim to use a variety of techniques such as electrochemical analysis, imaging, computational modelling, high throughput analysis to be able to be able to link morphology of organic molecules to the molecular structure and the electronic properties we get out. The aim being to be able to predict what properties we can achieve from a material based on the chemical structure alone, saving time and resources on new material discoveries

智能手机、太阳能电池板、传感器和计算机等现代技术都依赖贵金属和半贵金属才能发挥作用。然而，这些快速消耗的金属的获取、开采和处置存在许多问题。使用有机材料是一种可能的替代方法。然而，有机基材料的一个问题是，不仅在分子结构上，而且在这种分子的组装以产生不同的聚集体、组装后加工以及然后干燥成薄膜方面存在如此多的可能性。有这么多不同的迭代相同的分子更不用说不同的分子，它可以压倒性地知道从哪里开始。我们的目标是使用各种技术，如电化学分析，成像，计算建模，高通量分析，以便能够将有机分子的形态与分子结构和我们得到的电子性质联系起来。其目的是能够预测我们可以从仅基于化学结构的材料中获得什么性质，从而节省新材料发现的时间和资源