10 citations · 13 across the 3 of their papers we have counts for
3 papers
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows
Mathis Bode, Michael Gauding, Zeyu Lian +5
Turbulence is still one of the main challenges for accurately predicting reactive flows. Therefore, the development of new turbulence closures which can be applied to combustion pr…
Deep learning at scale for subgrid modeling in turbulent flows
Mathis Bode, Michael Gauding, Konstantin Kleinheinz +1
Modeling of turbulent flows is still challenging. One way to deal with the large scale separation due to turbulence is to simulate only the large scales and model the unresolved co…
Exact equations for structure functions and equations for source terms up to the sixth order
Norbert Peters, Jonas Boschung, Michael Gauding +2
We derive equations for the source terms appearing in structure function equations for the fourth and sixth order under the assumption of homogeneity and isotropy. The source terms…