Andrea Beck

According to our database, Andrea Beck authored at least 28 papers between 2011 and 2024.

Collaborative distances:

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

2024

Numerical Simulation of Phase Transition with the Hyperbolic Godunov-Peshkov-Romenski Model.

Pascal Mossier, Steven Jöns, Simone Chiocchetti, Andrea D. Beck, Claus-Dieter Munz

CoRR, 2024

2023

An Efficient hp-Adaptive Strategy for a Level-Set Ghost-Fluid Method.

Pascal Mossier, Daniel Appel, Andrea D. Beck, Claus-Dieter Munz

J. Sci. Comput., November, 2023

A framework for high-fidelity particle tracking on massively parallel systems.

Patrick Kopper, Anna Schwarz, Stephen M. Copplestone, Philip Ortwein, Stephan Staudacher, Andrea Beck

Comput. Phys. Commun., August, 2023

PoUnce: A framework for automatized uncertainty quantification simulations on high-performance clusters.

Jakob Dürrwächter, Thomas Kuhn, Fabian Meyer, Andrea Beck, Claus-Dieter Munz

J. Open Source Softw., February, 2023

Toward Discretization-Consistent Closure Schemes for Large Eddy Simulation Using Reinforcement Learning.

Andrea Beck, Marius Kurz

CoRR, 2023

Towards Exascale CFD Simulations Using the Discontinuous Galerkin Solver FLEXI.

Marcel Blind, Min Gao, Daniel Kempf, Patrick Kopper, Marius Kurz, Anna Schwarz, Andrea Beck

CoRR, 2023

2022

Relexi - A scalable open source reinforcement learning framework for high-performance computing.

Marius Kurz, Philipp Offenhäuser, Dominic Viola, Michael Resch, Andrea Beck

Softw. Impacts, December, 2022

A p-Adaptive Discontinuous Galerkin Method with hp-Shock Capturing.

Pascal Mossier, Andrea Beck, Claus-Dieter Munz

J. Sci. Comput., 2022

Deep reinforcement learning for computational fluid dynamics on HPC systems.

Marius Kurz, Philipp Offenhäuser, Dominic Viola, Oleksandr Shcherbakov, Michael M. Resch, Andrea Beck

J. Comput. Sci., 2022

Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations.

Marius Kurz, Philipp Offenhäuser, Andrea Beck

CoRR, 2022

Hybrid parallelization of Euler-Lagrange simulations based on MPI-3 shared memory.

Patrick Kopper, Stephen M. Copplestone, Marcel Pfeiffer, Christian Koch, Stefanos Fasoulas, Andrea Beck

Adv. Eng. Softw., 2022

2021

A data-driven high order sub-cell artificial viscosity for the discontinuous Galerkin spectral element method.

Jonas Zeifang, Andrea Beck

J. Comput. Phys., 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

Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows.

Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

2020

hp-Multilevel Monte Carlo Methods for Uncertainty Quantification of Compressible Navier-Stokes Equations.

Andrea Beck, Jakob Dürrwächter, Thomas Kuhn, Fabian Meyer, Claus-Dieter Munz, Christian Rohde

SIAM J. Sci. Comput., 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

A Perspective on Machine Learning Methods in Turbulence Modelling.

Andrea Beck, Marius Kurz

CoRR, 2020

A machine learning framework for LES closure terms.

Marius Kurz, Andrea Beck

CoRR, 2020

An Efficient Sliding Mesh Interface Method for High-Order Discontinuous Galerkin Schemes.

Jakob Dürrwächter, Marius Kurz, Patrick Kopper, Daniel Kempf, Claus-Dieter Munz, Andrea Beck

CoRR, 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

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

2015

Visualization of 2DWave Propagation by Huygens' Principle.

Stefan Heßel, Oliver Fernandes, Sebastian Boblest, Philipp Offenhäuser, Malte Hoffmann, Andrea Beck, Thomas Ertl, Colin W. Glass, Claus-Dieter Munz, Filip Sadlo

Proceedings of the 15th Eurographics Symposium on Parallel Graphics and Visualization, 2015

2013

Discontinuous Galerkin for High Performance Computational Fluid Dynamics.

Andrea Beck, Thomas Bolemann, Hannes Frank, Florian Hindenlang, Marc Staudenmaier, Gregor Gassner, Claus-Dieter Munz

Proceedings of the High Performance Computing in Science and Engineering '13, 2013

2012

An Efficient High Performance Parallelization of a Discontinuous Galerkin Spectral Element Method.

Christoph Altmann, Andrea D. Beck, Florian Hindenlang, Marc Staudenmaier, Gregor J. Gassner, Claus-Dieter Munz

Proceedings of the Facing the Multicore-Challenge, 2012

2011

Discontinuous Galerkin for High Performance Computational Fluid Dynamics (hpcdg).

Christoph Altmann, Andrea Beck, Andreas Birkefeld, Florian Hindenlang, Marc Staudenmaier, Gregor Gassner, Claus-Dieter Munz

Proceedings of the High Performance Computing in Science and Engineering '11, 2011