Heinz Pitsch

Lecture title:

"​Advancing Turbulent Combustion Modeling for Future Renewable Fuels: Unveiling the potential of super-resolution generative adversarial networks"

Abstract:

Turbulent combustion is highly complex because of the multitude of independent time and length scales and the strong non-linearities associated with combustion chemistry. As a result, modeling based on physical insights and rigorous simplifications is difficult. The topic becomes even more challenging with future renewable fuels with entirely different combustion properties compared with fossil energy carriers. Machine-learning-based modeling approaches provide an opportunity for improving the accuracy and usability of large-eddy simulations of chemically reacting flows. In this context, the talk will delve into the application of data-driven super-resolution models based on generative adversarial networks, which exhibit several interesting features. The potential usage of adversarial training, different training strategies, and their practical applications will be discussed, with a focus on enhancing out-of-sample reconstructions.

Biography:

Heinz Pitsch is a Professor at RWTH Aachen University and has been the Director of the Institute for Combustion Technology at RWTH Aachen University since 2010.
He has been Assistant and Associate Professor at Stanford University from 2003 – 2013 after receiving his PhD from RWTH Aachen University in 1998 and holding post-doctoral positions at the University of California, San Diego and Stanford University. His main research interests are in the fields of combustion theory, combustion chemistry, turbulence, and multi-phase flows with application to technical combustion systems.

Heinz Pitsch, RWTH Aachen University, Germany