Master-Thesis Machine Learning Applied To The PVT Process

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30 000 employees work with an annual research budget of 2.9 billion euros. At the Erlangen site, the more than 400 employees of the Fraunhofer Institute for Integrated Systems and Device Technology IISB conduct application-oriented research and development on innovative topics in semiconductor technology and power electronics. In the Department »Materials« at Fraunhofer IISB we are particularly concerned with the growth of bulk crystals and epitaxial layers. An important role in understanding these processes is played by the simulation of the heat and mass transport processes that take place during crystal growth. Recently, machine learning techniques have also been used to accelerate the calculations and are bringing the simulations together with the experiments to gain a deeper understanding of the crystal growth process.