Join us for this lecture by Professor Mercouri Kanatzidis, the Charles E. and Emma H. Morrison Professor of Chemistry and professor of Materials Science and Engineering at Northwestern University.
Emerging functional materials such as halide perovskites are intrinsically unstable, causing long-term instability in optoelectronic devices made from these materials. This leads to difficulty in capturing useful information on device degradation through time-consuming optical characterisation in their operating environments. Despite these challenges, understanding the degradation mechanism is crucial for advancing the technology towards commercialisation. Here, we present a self-supervised machine learning model that utilises a multi-channel correlation and blind denoising to recover images without high-quality references, enabling fast and low-dose measurements. We perform operando luminescence mapping of various emerging optoelectronic semiconductors, including organic and halide perovskite photovoltaic and light-emitting devices. By tracking the spatially resolved degradation in electroluminescence of mixed-halide perovskite blue light-emitting diodes, we discovered that lateral ion migration (perpendicular to the external electric field) during device operation triggers the formation of chloride-rich defective regions that emit poorly – a mechanism which would not be resolvable with conventional imaging approaches.
Join us for drinks and a networking opportunity after the lecture.