Simulation of underresolved turbulent flows by adaptive filtering using the high order discontinuous Galerkin spectral element method. - David Flad; Andrea Beck; Claus-Dieter Munz (J. Comput. Phys., 2016)

On the use of kinetic energy preserving DG-schemes for large eddy simulation. - David Flad; Gregor Gassner (J. Comput. Phys., 2017)

Deep Neural Networks for Data-Driven Turbulence Models. - Andrea D. Beck; David G. Flad; Claus-Dieter Munz (CoRR, 2018)

A highly efficient large eddy simulation method for DGSEM using non-linearly optimized relaxation filters. - David G. Flad; Andrea D. Beck; Philipp Guthke (CoRR, 2019)

Deep neural networks for data-driven LES closure models. - Andrea Beck; David Flad; Claus-Dieter Munz (J. Comput. Phys., 2019)

A neural network based shock detection and localization approach for discontinuous Galerkin methods. - Andrea D. Beck; Jonas Zeifang; Anna Schwarz; David G. Flad (J. Comput. Phys., 2020)

A large eddy simulation method for DGSEM using non-linearly optimized relaxation filters. - David Flad; Andrea Beck; Philipp Guthke (J. Comput. Phys., 2020)

FLEXI: A high order discontinuous Galerkin framework for hyperbolic-parabolic conservation laws. - Nico Krais; Andrea Beck; Thomas Bolemann; Hannes Frank; David Flad; Gregor Gassner; Florian Hindenlang; Malte Hoffmann; Thomas Kuhn; Matthias Sonntag; Claus-Dieter Munz (Comput. Math. Appl., 2021)

Arbitrary Order Solutions for the Eikonal Equation using a Discontinuous Galerkin Method. - David Flad; Aniruddhe Pradhan; Scott Murman (CoRR, 2021)