3 citations · 3 across the 1 of their papers we have counts for
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A Comparison Of Direct Solvers In FROSch Applied To Chemo-Mechanics
Alexander Heinlein, Bjoern Kiefer, Stefan Prüger +2
Sparse direct linear solvers are at the computational core of domain decomposition preconditioners and therefore have a strong impact on their performance. In this paper, we consid…
Learning the solution operator of two-dimensional incompressible Navier-Stokes equations using physics-aware convolutional neural networks
Viktor Grimm, Alexander Heinlein, Axel Klawonn
In recent years, the concept of introducing physics to machine learning has become widely popular. Most physics-inclusive ML-techniques however are still limited to a single geomet…
A computational framework for pharmaco-mechanical interactions in arterial walls using parallel monolithic domain decomposition methods
Daniel Balzani, Alexander Heinlein, Axel Klawonn +5
A computational framework is presented to numerically simulate the effects of antihypertensive drugs, in particular calcium channel blockers, on the mechanical response of arterial…
On temporal homogenization in the numerical simulation of atherosclerotic plaque growth
Stefan Frei, Alexander Heinlein, Thomas Richter
A temporal homogenization approach for the numerical simulation of atherosclerotic plaque growth is extended to fully coupled fluid-structure interaction (FSI) simulations. The num…