Nils Margenberg

According to our database, Nils Margenberg authored at least 22 papers between 2019 and 2026.

Collaborative distances:

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

2026

Stochastic Galerkin and Monte-Carlo methods for parabolic problems: Numerical performance of variational matrix-free approximations.

Moataz Dawor, Nils Margenberg, Markus Bause

CoRR, May, 2026

Solving the (Navier-)Stokes equations with space and time adaptivity using deal.II.

Peter Munch, Marc Fehling, Martin Kronbichler, Nils Margenberg, Laura Prieto Saavedra

CoRR, March, 2026

A Scalable Monolithic Modified Newton Multigrid Framework for Time-Dependent p-Navier-Stokes Flow.

Nils Margenberg, Carolin Mehlmann

CoRR, March, 2026

Anisotropic hp space-time adaptivity and goal-oriented error control for convection-dominated problems.

Nils Margenberg, Marius Paul Bruchhäuser, Bernhard Endtmayer

CoRR, February, 2026

A Monolithic hp Space-Time Multigrid Preconditioned Newton-Krylov Solver for Space-Time FEM applied to the Incompressible Navier-Stokes Equations.

Nils Margenberg, Markus Bause

CoRR, February, 2026

A robust and stable hybrid neural network/finite element method for 2D flows that generalizes to different geometries.

Robert Jendersie, Nils Margenberg, Christian Lessig, Thomas Richter

CoRR, January, 2026

2025

A Hybrid Neural Network-Finite Element Method for the Viscous-Plastic Sea-Ice Model.

Nils Margenberg, Carolin Mehlmann

CoRR, December, 2025

Multi-goal-oriented anisotropic error control and mesh adaptivity for time-dependent convection-dominated problems.

Markus Bause, Marius Paul Bruchhäuser, Bernhard Endtmayer, Nils Margenberg, Ioannis Toulopoulos, Thomas Wick

CoRR, July, 2025

Anisotropic space-time goal-oriented error control and mesh adaptivity for convection-diffusion-reaction equations.

Markus Bause, Marius Paul Bruchhäuser, Bernhard Endtmayer, Nils Margenberg, Ioannis Toulopoulos, Thomas Wick

CoRR, April, 2025

An \(hp\) Multigrid Approach for Tensor-Product Space-Time Finite Element Discretizations of the Stokes Equations.

Nils Margenberg, Markus Bause, Peter Munch

SIAM J. Sci. Comput., 2025

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

A Space-Time Multigrid Method for Space-Time Finite Element Discretizations of Parabolic and Hyperbolic PDEs.

Nils Margenberg, Peter Munch

CoRR, 2024

The Biot-Allard poro-elasticity system: equivalent forms and well-posedness.

Jakob S. Stokke, Markus Bause, Nils Margenberg, Florin A. Radu

CoRR, 2024

Biot's poro-elasticity system with dynamic permeability convolution: Well-posedness for evolutionary form.

Jakob S. Stokke, Markus Bause, Nils Margenberg, Florin A. Radu

Appl. Math. Lett., 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