Michael Gauding

According to our database, Michael Gauding authored at least 9 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data.

Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz Pitsch

CoRR, 2022

2021

Using Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Reconstruct Mixture Fraction Statistics of Turbulent Jet Flows.

Michael Gauding, Mathis Bode

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

2019

Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows.

Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, Jenia Jitsev, Heinz Pitsch

CoRR, 2019

Deep learning at scale for subgrid modeling in turbulent flows.

Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch

CoRR, 2019

Deep Learning at Scale for Subgrid Modeling in Turbulent Flows: Regression and Reconstruction.

Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch

Proceedings of the High Performance Computing, 2019

2018

On the self-similarity of line segments in decaying homogeneous isotropic turbulence.

Michael Gauding, Lipo Wang, Jens Henrik Göbbert, Mathis Bode, Luminita Danaila, Emilien Varea

CoRR, 2018

Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning.

Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch

Proceedings of the High Performance Computing, 2018

2016

Framework for Sharing of Highly Resolved Turbulence Simulation Data.

Bastian Tweddell, Jens Henrik Göbbert, Michael Gauding, Benjamin Weyers, Björn Hagemeier

Proceedings of the High-Performance Scientific Computing, 2016

2015

Direct Numerical Simulation of Fluid Turbulence at Extreme Scale with psOpen.

Jens Henrik Göbbert, Michael Gauding, Cedrick Ansorge, Bernd Hentschel, Torsten W. Kuhlen, Heinz Pitsch

Proceedings of the Parallel Computing: On the Road to Exascale, 2015