Miroslav Kuchta
Title
Cited by
Cited by
Year
Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control
J Rabault, M Kuchta, A Jensen, U Réglade, N Cerardi
Journal of fluid mechanics 865, 281-302, 2019
1132019
A cell-based framework for numerical modeling of electrical conduction in cardiac tissue
A Tveito, KH Jæger, M Kuchta, KA Mardal, ME Rognes
Frontiers in Physics 5, 48, 2017
392017
Preconditioners for saddle point systems with trace constraints coupling 2D and 1D domains
M Kuchta, M Nordaas, JCG Verschaeve, M Mortensen, KA Mardal
SIAM Journal on Scientific Computing 38 (6), B962-B987, 2016
262016
Multigrid methods for discrete fractional Sobolev spaces
T Bærland, M Kuchta, KA Mardal
SIAM Journal on Scientific Computing 41 (2), A948-A972, 2019
192019
A numerical investigation of intrathecal isobaric drug dispersion within the cervical subarachnoid space
PT Haga, G Pizzichelli, M Mortensen, M Kuchta, SH Pahlavian, ...
PloS one 12 (3), e0173680, 2017
162017
How does the presence of neural probes affect extracellular potentials?
AP Buccino, M Kuchta, KH Jæger, TV Ness, P Berthet, KA Mardal, ...
Journal of neural engineering 16 (2), 026030, 2019
142019
Preconditioning trace coupled 3d‐1d systems using fractional Laplacian
M Kuchta, KA Mardal, M Mortensen
Numerical Methods for Partial Differential Equations 35 (1), 375-393, 2019
132019
On the singular Neumann problem in linear elasticity
M Kuchta, KA Mardal, M Mortensen
Numerical Linear Algebra with Applications 26 (1), e2212, 2019
92019
Sub-voxel Perfusion Modeling in Terms of Coupled 3d-1d Problem
KE Holter, M Kuchta, KA Mardal
European Conference on Numerical Mathematics and Advanced Applications, 35-47, 2017
92017
Despinning and shape evolution of SaturnĘs moon Iapetus triggered by a giant impact
M Kuchta, G Tobie, K Miljković, M Běhounková, O Souček, G Choblet, ...
Icarus 252, 454-465, 2015
72015
Deep reinforcement learning achieves flow control of the 2d karman vortex street
J Rabault, U Reglade, N Cerardi, M Kuchta, A Jensen
arXiv preprint arXiv:1808.10754, 2018
62018
Assembly of multiscale linear PDE operators
M Kuchta
Numerical Mathematics and Advanced Applications ENUMATH 2019, 641-650, 2021
52021
Solving the EMI equations using finite element methods
M Kuchta, KA Mardal, ME Rognes
Modeling Excitable Tissue, 56-69, 2021
32021
Analysis and approximation of mixed-dimensional PDEs on 3D-1D domains coupled with Lagrange multipliers
M Kuchta, F Laurino, KA Mardal, P Zunino
SIAM Journal on Numerical Analysis 59 (1), 558-582, 2021
32021
An observation on the uniform preconditioners for the mixed Darcy problem
T Bærland, M Kuchta, KA Mardal, T Thompson
Numerical Methods for Partial Differential Equations 36 (6), 1718-1734, 2020
32020
Fenicstools, 2017
M Mortensen, M Kuchta
URL https://github. com/mikaem/fenicstools/wiki, 0
3
Robust preconditioners for perturbed saddle-point problems and conservative discretizations of Biot's equations utilizing total pressure
WM Boon, M Kuchta, KA Mardal, R Ruiz-Baier
SIAM Journal on Scientific Computing 43 (4), B961-B983, 2021
22021
Robust preconditioning of monolithically coupled multiphysics problems
KE Holter, M Kuchta, KA Mardal
arXiv preprint arXiv:2001.05527, 2020
22020
On preconditioning saddle point systems with trace constraints coupling 3D and 1D domains–applications to matching and nonmatching FEM discretizations
M Kuchta, KA Mardal, M Mortensen
arXiv preprint arXiv:1612.03574, 2016
22016
Characterisation of the space of rigid motions in arbitrary domains
M Kuchta, KA Mardal, M Mortensen
Proc. of 8th National Conference on Computational Mechanics. Barcelona†…, 2015
22015
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Articles 1–20