165 citations · 368 across the 20 of their papers we have counts for
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physics.flu-dyn2023★ 12 cited
Application of dense neural networks for manifold-based modeling of flame-wall interactions
Julian Bissantz, Jeremy Karpowski, Matthias Steinhausen +5
Artifical neural networks (ANNs) are universal approximators capable of learning any correlation between arbitrary input data with corresponding outputs, which can also be exploite…
physics.flu-dyn2023★ 3 cited
Numerical Investigation of the Local Thermo-Chemical State in a Thermo-Acoustically Unstable Dual Swirl Gas Turbine Model Combustor
T. Jeremy P. Karpowski, Federica Ferraro, Matthias Steinhausen +6
In this work, the thermo-acoustic instabilities of a gas turbine model combustor, the so-called SFB606 combustor, are numerically investigated using Large Eddy Simulation (LES) com…