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2020 – today
- 2022
[i5]Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch:
Towards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning. CoRR abs/2210.16110 (2022)- [i4]Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz Pitsch:
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data. CoRR abs/2210.16206 (2022) - 2021
- [c5]Michael Gauding, Mathis Bode:
Using Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Reconstruct Mixture Fraction Statistics of Turbulent Jet Flows. ISC Workshops 2021: 138-153
2010 – 2019
- 2019
- [c4]Mathis Bode
, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch:
Deep Learning at Scale for Subgrid Modeling in Turbulent Flows: Regression and Reconstruction. ISC Workshops 2019: 541-560 - [i3]Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch:
Deep learning at scale for subgrid modeling in turbulent flows. CoRR abs/1910.00928 (2019) - [i2]Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, Jenia Jitsev, Heinz Pitsch:
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows. CoRR abs/1911.11380 (2019) - 2018
- [c3]Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch:
Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning. ISC Workshops 2018: 614-623 - [i1]Michael Gauding, Lipo Wang, Jens Henrik Göbbert, Mathis Bode, Luminita Danaila, Emilien Varea:
On the self-similarity of line segments in decaying homogeneous isotropic turbulence. CoRR abs/1809.07539 (2018) - 2016
- [c2]Bastian Tweddell, Jens Henrik Göbbert, Michael Gauding, Benjamin Weyers, Björn Hagemeier:
Framework for Sharing of Highly Resolved Turbulence Simulation Data. JHPCS 2016: 225-232 - 2015
- [c1]Jens Henrik Göbbert, Michael Gauding, Cedrick Ansorge, Bernd Hentschel, Torsten W. Kuhlen, Heinz Pitsch:
Direct Numerical Simulation of Fluid Turbulence at Extreme Scale with psOpen. PARCO 2015: 777-785
Coauthor Index
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