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physics.flu-dyn2022★ 9 cited
Towards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning
Mathis Bode, Michael Gauding, Jens Henrik Göbbert +3
In this paper, deep learning (DL) methods are evaluated in the context of turbulent flows. Various generative adversarial networks (GANs) are discussed with respect to their suitab…
physics.flu-dyn2018
On the self-similarity of line segments in decaying homogeneous isotropic turbulence
Michael Gauding, Lipo Wang, Jens Henrik Goebbert +3
The self-similarity of a passive scalar in homogeneous isotropic decaying turbulence is investigated by the method of line segments (M. Gauding et al., Physics of Fluids 27.9 (2015…