Machine learning assisted calibration of PVT simulations for SiC crystal growth

In this study, machine learning models were successfully applied as substitutes for the computationally expensive numerical PVT simulation, enabling calibration as well as in-depth investigations, including sensitivity and uncertainty analysis.