49 citations · 324 across the 34 of their papers we have counts for
6 papers · 1 filter
Quasi-Random Discrete Ordinates Method to Radiative Transfer Equation with Linear Anisotropic Scattering
Pedro H. A. Konzen, Leonardo F. Guidi, Thomas Richter
The quasi-random discrete ordinates method (QRDOM) is here proposed for the approximation of transport problems. Its central idea is to explore a quasi Monte Carlo integration with…
Quasi-Random Discrete Ordinates Method for Transport Problems
Pedro H. A. Konzen, Leonardo F. Guidi, Thomas Richter
The quasi-random discrete ordinates method (QRDOM) is here proposed for the approximation of transport problems. Its central idea is to explore a quasi Monte Carlo integration with…
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 +1
We extend and analyze the deep neural network multigrid solver (DNN-MG) for the Navier-Stokes equations in three dimensions. The idea of the method is to augment a finite element s…
A monolithic space-time temporal multirate finite element framework for interface and volume coupled problems
Julian Roth, Martyna Soszyńska, Thomas Richter +1
In this work, we propose and computationally investigate a monolithic space-time multirate scheme for coupled problems. The novelty lies in the monolithic formulation of the multir…
Adjacency-based, Non-intrusive Reduced-order Modeling for Fluid-Structure Interactions
Leonidas Gkimisis, Thomas Richter, Peter Benner
Non-intrusive model reduction is a promising solution to system dynamics prediction, especially in cases where data are collected from experimental campaigns or proprietary softwar…
Adjacency-based, non-intrusive model reduction for Vortex-Induced Vibrations
Leonidas Gkimisis, Thomas Richter, Peter Benner
Vortex-induced vibrations (VIV) pose computationally expensive problems of high practical interest to several engineering fields. In this work we develop a non-intrusive, reduced-o…