Machine learning assisted calibration of PVT simulations for SiC crystal growth
Lorenz Taucher, Zaher Ramadan, René Hammer, Thomas Obermüller, P. Auer, Lorenz Romaner
Abstract
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.
Topics & Concepts
CalibrationCrystal (programming language)Materials scienceComputer scienceNanotechnologyMathematicsStatisticsProgramming languageSilicon Carbide Semiconductor TechnologiesSilicon and Solar Cell TechnologiesAdvanced Surface Polishing Techniques