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…