Leibniz MMS Days 2023 - Abstract

Gauger, Nicolas R.

Grey-box data-driven turbulence modeling

The so-called "grey-box modeling" approach cleverly combines insights from simulations ("white-box modeling?) on high-performance computing (HPC) architectures with data-driven approaches ("black-box modeling?) using artificial intelligence (AI) methods. As an example, we consider here the so-called "field inversion" method in data-driven turbulence modeling for the Navier-Stokes equations. For the field inversion, classical methods from the area of optimization with partial differential equations are used.

The presented work contains contributions from Emre Özkaya, Rohit Pochampalli, Guillermo Suarez (University Kaiserslautern-Landau).