activity
20182021
most citedFalling balls in a viscous fluid with contact: Comparing numerical simulations with experimental data

27 citations · 45 across the 6 of their papers we have counts for

collaborators

20 papers

physics.flu-dyn202112 cited

Steady azimuthal flow field induced by a rotating sphere near a rigid disk or inside a gap between two coaxially positioned rigid disks

Abdallah Daddi-Moussa-Ider, Alexander R. Sprenger, Thomas Richter +2

Geometric confinements play an important role in many physical and biological processes and significantly affect the rheology and behavior of colloidal suspensions at low Reynolds…

math.NA20213 cited

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…

math.NA20213 cited

Deep neural networks for geometric multigrid methods

Nils Margenberg, Robert Jendersie, Thomas Richter +1

We investigate scaling and efficiency of the deep neural network multigrid method (DNN-MG). DNN-MG is a novel neural network-based technique for the simulation of the Navier-Stokes…

physics.flu-dyn2021

Using a deep neural network to predict the motion of under-resolved triangular rigid bodies in an incompressible flow

Henry von Wahl, Thomas Richter

We consider non-spherical rigid body particles in an incompressible fluid in the regime where the particles are too large to assume that they are simply transported with the fluid…

physics.flu-dyn202027 cited

Falling balls in a viscous fluid with contact: Comparing numerical simulations with experimental data

Henry von Wahl, Thomas Richter, Stefan Frei +1

We evaluate a number of different finite element approaches for fluid-structure (contact) interaction problems against data from physical experiments. For this we take the data fro…

physics.flu-dyn2020

A finite element / neural network framework for modeling suspensions of non-spherical particles. Concepts and medical applications

Martyna Minakowska, Thomas Richter, Sebastian Sager

An accurate prediction of the translational and rotational motion of particles suspended in a fluid is only possible if a complete set of correlations for the force coefficients of…