Working group Simulation and Machine Learning

Simulation and Machine Learning for Crystal Growth

W. Miller

The working group Simulation is intended to be a forum for the exchange of information, questions and assistance between engineers and scientists working primarily experimentally and primarily numerically and theoretically, as well as a platform for discussing new mathematical and numerical approaches.

The most important concern is the reference to reality, i.e. the use of simulation calculations to optimize and better understand industry-relevant crystallization processes. The crystal growers should get an easier access to the modeling of growing processes, especially with regard to the advanced software development, which enables the use of simulation programs for more and more complex questions.

Machine learning supports crystal growing in a variety of ways. Whether it is process optimization, image evaluation, prediction of crystal properties, as a supplement to simulation calculations or in many other areas. The fields of application are as diverse and specialized as the techniques of crystal growth and characterization. The focus on machine learning within the working group on simulation is therefore intended as an opportunity to exchange ideas in the field of machine learning, to learn from and with each other.

Contact person

Field Simulation

Dr. Lev Kadinski
E-mail: lev.kadinski@siltronic.com
Siltronic AG

Field Machine Learning

Dr. Ing. Ludwig Stockmeier
Email: ludwig.stockmeier@siltronic.com
Siltronic AG

Overview of working groups