activity
20232026
most citedMachine learning and domain decomposition methods -- a survey

2 citations · 5 across the 18 of their papers we have counts for

collaborators
Showing 2024 · math.NAShow all

5 papers · 2 filters

math.NA2024

Nonlinear Two-Level Schwarz Methods: A Parallel Implementation in FROSch

Alexander Heinlein, Kyrill Ho, Axel Klawonn +1

Owing to the ability of nonlinear domain decomposition methods to improve the nonlinear convergence behavior of Newton's method, they have experienced a rise in popularity recently…

math.NA2024

Nonlinear Monolithic Two-Level Schwarz Methods for the Navier-Stokes Equations

Axel Klawonn, Martin Lanser

Nonlinear domain decomposition methods became popular in recent years since they can improve the nonlinear convergence behavior of Newton's method significantly for many complex pr…

math.NA2024

Adaptive and frugal BDDC coarse spaces for virtual element discretizations of a Stokes problem with heterogeneous viscosity

Tommaso Bevilacqua, Axel Klawonn, Martin Lanser

The virtual element method (VEM) is a family of numerical methods to discretize partial differential equations on general polygonal or polyhedral computational grids. However, the…

math.NA2024

Monolithic overlapping Schwarz preconditioners for nonlinear finite element simulations of laser beam welding processes

Tommaso Bevilacqua, Axel Klawonn, Martin Lanser +1

Highly resolved finite element simulations of a laser beam welding process are considered. The thermomechanical behavior of this process is modeled with a set of thermoelasticity e…

math.NA2024★ 1 cited

Computational homogenization for aerogel-like polydisperse open-porous materials using neural network--based surrogate models on the microscale

Axel Klawonn, Martin Lanser, Lucas Mager +1

The morphology of nanostructured materials exhibiting a polydisperse porous space, such as aerogels, is very open porous and fine grained. Therefore, a simulation of the deformatio…