NM01 – Machine Learning Assisted Material and Device Parameter Extraction From Measurements Of Thin Film Semiconductor Devices
The simulation of thin film semiconductor devices is challenging, partly due to the unknown material and device parameters. In this contribution, we present two different approaches to determine the missing material and device parameters from measurements. They both have in common that they are based on machine learning (ML) and numerical models. First, a numerical […]