Event Details
Crystal Clear: Applying Computer Vision to Control and Optimize the Growth of Large Semiconductor Crystals
Presenter: Nicholas Sandor
Supervisor:
Date: Tue, April 14, 2026
Time: 13:00:00 - 14:00:00
Place: Elliott 226
ABSTRACT
Abstract:
Halide perovskites are a highly promising class of emerging semiconductor materials with applications in solar energy and medical imaging. Single crystals of this material are an ideal form with high performance, and controlling single crystal growth is critical for creating reproducible high-quality devices; however, monitoring these processes is hindered by a lack of tools capable of persistently tracking growth proceses. To address this, we present CrystalCV: an accessible, Python-based computer vision platform designed to continuously extract time-series crystallization data for multiple crystals. The system's utility is demonstrated across three case studies: measuring MAPbBr3 and CsPbBr3 growth uniformity, validating reactive thermal control to suppress secondary nucleation, and monitoring FAPbI3 phase transitions. CrystalCV offers a highly accessible solution to accelerate the optimization of complex semiconductor crystal growth.