Characterising and predicting new perovskite inspired materials using spectroscopic and computational techniques

使用光谱和计算技术表征和预测新型钙钛矿材料

• 批准号: 2421786
• 金额: --
• 依托单位: University College London
• 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-2421786
• 关键词: Characterising; predicting; new; perovskite; inspired

'Perovskite-inspired' materials have seen a significant rise in interest in recent years, with the hope they will deliver stable non-toxic thin-film solar cells that can match the efficiency of silicon based devices. In order to determine if a new material will achieve high efficiencies in devices, computational and experimental techniques can be used to study the electronic and optical properties of candidate materials. This will hopefully allow us to discover new and affordable energy materials.

近年来，“钙钛矿启发”的材料引起了人们的极大兴趣，人们希望它们能提供稳定无毒的薄膜太阳能电池，与硅基设备的效率相媲美。为了确定一种新材料是否能在器件中实现高效率，可以使用计算和实验技术来研究候选材料的电子和光学特性。这将有希望让我们发现新的和负担得起的能源材料。