Jonas Kusch
Jonas Kusch
Verifisert e-postadresse på kit.edu
Tittel
Sitert av
Sitert av
År
Filtered stochastic galerkin methods for hyperbolic equations
J Kusch, RG McClarren, M Frank
Journal of Computational Physics 403, 109073, 2020
232020
Maximum-principle-satisfying second-order Intrusive Polynomial Moment scheme
J Kusch, GW Alldredge, M Frank
The SMAI journal of computational mathematics 5, 23-51, 2019
222019
Intrusive methods in uncertainty quantification and their connection to kinetic theory
J Kusch, M Frank
International Journal of Advances in Engineering Sciences and Applied …, 2018
182018
Ray effect mitigation for the discrete ordinates method through quadrature rotation
T Camminady, M Frank, K Küpper, J Kusch
Journal of Computational Physics 382, 105-123, 2019
142019
Intrusive acceleration strategies for uncertainty quantification for hyperbolic systems of conservation laws
J Kusch, J Wolters, M Frank
Journal of Computational Physics 419, 109698, 2020
122020
Uncertainty quantification for hyperbolic equations
J Kusch
RWTH Aachen University, 1-23, 2015
62015
An adaptive quadrature-based moment closure
J Kusch, M Frank
International Journal of Advances in Engineering Sciences and Applied …, 2019
52019
Highly uniform quadrature sets for the discrete ordinates method
T Camminady, M Frank, J Kusch
Nuclear Science and Engineering, 2021
42021
Oscillation mitigation of hyperbolicity-preserving intrusive uncertainty quantification methods for systems of conservation laws
J Kusch, L Schlachter
Journal of Computational and Applied Mathematics 400, 113714, 2022
32022
Ray Effect Mitigation for the Discrete Ordinates Method Using Artificial Scattering
M Frank, J Kusch, T Camminady, CD Hauck
Nuclear Science and Engineering 194 (11), 971-988, 2020
32020
Realizability-preserving discretization strategies for hyperbolic and kinetic equations with uncertainty
J Kusch
Karlsruher Institut für Technologie (KIT), 2020
32020
Ray-Effect Mitigation for the Discrete Ordinates Method Using Artificial Scattering
T Camminady, M Frank, CD Hauck, J Kusch
Nuclear Science and Engineering, 2021
12021
Dynamical low-rank approximation for Burgers' equation with uncertainty
J Kusch, G Ceruti, L Einkemmer, M Frank
arXiv preprint arXiv:2105.04358, 2021
12021
A rank-adaptive robust integrator for dynamical low-rank approximation
G Ceruti, J Kusch, C Lubich
arXiv preprint arXiv:2104.05247, 2021
12021
Entropy–Based Methods for Uncertainty Quantification of Hyperbolic Conservation Laws
M Frank, J Kusch, J Wolters
Recent Advances in Numerical Methods for Hyperbolic PDE Systems, 29-56, 2021
12021
On the stability of robust dynamical low-rank approximations for hyperbolic problems
J Kusch, L Einkemmer, G Ceruti
arXiv preprint arXiv:2107.07282, 2021
2021
A Realizable Filtered Intrusive Polynomial Moment Method
G Alldredge, M Frank, J Kusch, R McClarren
arXiv preprint arXiv:2105.07473, 2021
2021
An Approximate Newton Smoothing Method for Shape Optimization
J Kusch, S Schmidt, NR Gauger
arXiv preprint arXiv:1807.11232, 2018
2018
Frequency based preconditioning and smoothing for shape optimization
J Kusch, NR Gauger, S Müller, S Schmidt
PAMM 16 (1), 701-702, 2016
2016
A ONE-SHOT APPROACH FOR THE INTRUSIVE POLYNOMIAL MOMENT METHOD
J KUSCH, J WOLTERS, M FRANK
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Artikler 1–20