We extend and analyze the deep neural network multigrid solver (DNN-MG) ...
In this work, we propose and computationally investigate a monolithic
sp...
The quasi-random discrete ordinates method (QRDOM) is here proposed for ...
The quasi-random discrete ordinates method (QRDOM) is here proposed for ...
We analyze a hybrid method that enriches coarse grid finite element solu...
Deep learning based image compression has gained a lot of momentum in re...
We introduce an unfitted finite element method with Lagrange-multipliers...
We develop an error estimator for neural network approximations of PDEs....
A temporal homogenization approach for the numerical simulation of
ather...
We investigate scaling and efficiency of the deep neural network multigr...
We consider non-spherical rigid body particles in an incompressible flui...
The simulation of partial differential equations is a central subject of...
We evaluate a number of different finite element approaches for
fluid-st...
We present a deep neural network multigrid solver (DNN-MG) that we devel...
In aerospace engineering and boat building, fluid-structure interaction
...
The locally modified finite element method, which is introduced in [Frei...
We consider the dynamics of a parabolic and a hyperbolic equation couple...
We consider systems of ordinary differential equations with multiple sca...
We describe a temporal multiscale approach for the simulation of long-te...
For the first time we introduce an error estimator for the numerical
app...
We analyse a Eulerian Finite Element method, combining a Eulerian
time-s...
Parameter-dependent discretizations of linear fluid-structure interactio...
We provide optimal order pressure error estimates for the Crank-Nicolson...
We propose a fluid-rigid body interaction benchmark problem, consisting ...
The visions and ideas of Industry 4.0 require a profound interconnection...
We present a parallel time-stepping method for fluid-structure interacti...
In this lecture note, we describe high dynamic range (HDR) imaging syste...