572 citations · 804 across the 24 of their papers we have counts for
5 papers · 1 filter
An Observation On The Uniform Preconditioners For The Mixed Darcy Problem
Trygve Bærland, Miroslav Kuchta, Kent-Andre Mardal +1
When solving a multi-physics problem one often decomposes a monolithic system into simpler, frequently single-physics, subproblems. A comprehensive solution strategy may commonly b…
Deep Reinforcement Learning achieves flow control of the 2D Karman Vortex Street
Jean Rabault, Ulysse Reglade, Nicolas Cerardi +2
The Karman Vortex Street has been investigated for over a century and offers a reference case for investigation of flow stability and control of high dimensionality, non-linear sys…
Artificial Neural Networks trained through Deep Reinforcement Learning discover control strategies for active flow control
Jean Rabault, Miroslav Kuchta, Atle Jensen +2
We present the first application of an Artificial Neural Network trained through a Deep Reinforcement Learning agent to perform active flow control. It is shown that, in a 2D simul…
Multigrid Methods for Discrete Fractional Sobolev Spaces
Trygve Bærland, Miroslav Kuchta, Kent-Andre Mardal
Coupled multiphysics problems often give rise to interface conditions naturally formulated in fractional Sobolev spaces. Here, both positive- and negative fractionality are common.…
Sub-voxel perfusion modeling in terms of coupled 3d-1d problem
Karl Erik Holter, Miroslav Kuchta, Kent-André Mardal
We study perfusion by a multiscale model coupling diffusion in the tissue and diffusion along the one-dimensional segments representing the vasculature. We propose a block-diagonal…