Advanced data analysis and measurement methods for high performance perovskites

高性能钙钛矿的先进数据分析和测量方法

• 批准号: 2826024
• 金额: --
• 依托单位: University of Surrey
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2826024
• 关键词: Advanced; data; analysis; measurement; methods

Solar photovoltaic devices based on perovskite materials have demonstrated significant potential in recent years due to the high efficiencies achieved and their scalability potential. Such photovoltaic devices are already achieving certified efficiencies of 25.2% in glass substrates.Their manufacturing process is compatible with lightweight, flexible substrates, making them suitable for high W/kg applications (aircrafts, space, IoT devices, etc). However, optimisation for specific applications can be a challenge. A combination of innovative measurement techniques based on spatial optical and electrical characterisation, along with advanced data analysis methods (including AI and machine learning) could provide a step change in how to study these systems, helping to optimise manufacturing processes and resolve commercialisation challenges.&&&

近年来，基于钙钛矿材料的太阳能光伏器件由于所实现的高效率和可扩展性潜力而显示出巨大的潜力。此类光伏器件在玻璃基板上已实现 25.2% 的认证效率。其制造工艺与轻质柔性基板兼容，使其适用于高 W/kg 应用（飞机、太空、物联网设备等）。然而，针对特定应用的优化可能是一个挑战。基于空间光学和电学特征的创新测量技术与先进的数据分析方法（包括人工智能和机器学习）的结合可以为研究这些系统的方式提供阶跃变化，帮助优化制造流程并解决商业化挑战。&&&