Advanced data analysis and measurement methods for high performance perovskites

近年来，基于钙钛矿材料的太阳能光伏器件由于实现的高效率及其可扩展性潜力而表现出巨大的潜力。此类光伏器件在玻璃基板上的认证效率已达到25.2%。其制造工艺与轻质柔性基板兼容，适用于高W/kg应用（飞机、航天、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性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）的结合沿着，可以为如何研究这些系统提供一个台阶式的变化，有助于优化制造过程并解决商业化挑战。

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.&&&