Nils Margenberg

According to our database, Nils Margenberg authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Optimal Dirichlet boundary control by Fourier neural operators applied to nonlinear optics.

Nils Margenberg, Franz X. Kärtner, Markus Bause

J. Comput. Phys., February, 2024

2023

DNN-MG: A Hybrid Neural Network/Finite Element Method with Applications to 3D Simulations of the Navier-Stokes Equations.

Nils Margenberg, Robert Jendersie, Christian Lessig, Thomas Richter

CoRR, 2023

Benchmark computations of dynamic poroelasticity.

Mathias Anselmann, Markus Bause, Nils Margenberg, Pavel Shamko

CoRR, 2023

An energy-efficient GMRES-Multigrid solver for space-time finite element computation of dynamic poro- and thermoelasticity.

Mathias Anselmann, Markus Bause, Nils Margenberg, Pavel Shamko

CoRR, 2023

2022

A neural network multigrid solver for the Navier-Stokes equations.

Nils Margenberg, Dirk Hartmann, Christian Lessig, Thomas Richter

J. Comput. Phys., 2022

Accurate simulation of THz generation with Finite-Element Time Domain methods.

Nils Margenberg, Franz X. Kärtner, Markus Bause

CoRR, 2022

2021

Deep neural networks for geometric multigrid methods.

Nils Margenberg, Robert Jendersie, Thomas Richter, Christian Lessig

CoRR, 2021

2020

Structure Preservation for the Deep Neural Network Multigrid Solver.

Nils Margenberg, Christian Lessig, Thomas Richter

CoRR, 2020

2019

Parallel time-stepping for fluid-structure interactions.

Nils Margenberg, Thomas Richter

CoRR, 2019