David Flad

According to our database, David Flad authored at least 9 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Arbitrary Order Solutions for the Eikonal Equation using a Discontinuous Galerkin Method.

David Flad, Aniruddhe Pradhan, Scott Murman

CoRR, 2021

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

2020

A large eddy simulation method for DGSEM using non-linearly optimized relaxation filters.

David Flad, Andrea Beck, Philipp Guthke

J. Comput. Phys., 2020

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

2019

Deep neural networks for data-driven LES closure models.

Andrea Beck, David Flad, Claus-Dieter Munz

J. Comput. Phys., 2019

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

2018

Deep Neural Networks for Data-Driven Turbulence Models.

Andrea D. Beck, David G. Flad, Claus-Dieter Munz

CoRR, 2018

2017

On the use of kinetic energy preserving DG-schemes for large eddy simulation.

David Flad, Gregor Gassner

J. Comput. Phys., 2017

2016

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