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Linus Seelinger
Linus Seelinger
Karlsruhe Institute of Technology (KIT)
Verified email at linusseelinger.de - Homepage
Title
Cited by
Cited by
Year
Dune-composites–A new framework for high-performance finite element modelling of laminates
A Reinarz, T Dodwell, T Fletcher, L Seelinger, R Butler, R Scheichl
Composite Structures 184, 269-278, 2018
252018
MUQ: The MIT uncertainty quantification library
M Parno, A Davis, L Seelinger
Journal of Open Source Software 6 (68), 3076, 2021
222021
High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites
R Butler, T Dodwell, A Reinarz, A Sandhu, R Scheichl, L Seelinger
Computer Physics Communications 249, 106997, 2020
202020
High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo
L Seelinger, A Reinarz, L Rannabauer, M Bader, P Bastian, R Scheichl
Proceedings of the International Conference for High Performance Computing …, 2021
162021
Multilevel spectral domain decomposition
P Bastian, R Scheichl, L Seelinger, A Strehlow
SIAM Journal on Scientific Computing 45 (3), S1-S26, 2022
122022
UM-Bridge: Uncertainty quantification and modeling bridge
L Seelinger, V Cheng-Seelinger, A Davis, M Parno, A Reinarz
Journal of Open Source Software 8 (83), 2023
112023
Scalable multiscale-spectral GFEM with an application to composite aero-structures
J Bénézech, L Seelinger, P Bastian, R Butler, T Dodwell, C Ma, ...
Journal of Computational Physics 508, 113013, 2024
8*2024
Modeling and quantifying parameter uncertainty of co‐seismic non‐classical nonlinearity in rocks
Z Niu, AA Gabriel, L Seelinger, H Igel
Journal of Geophysical Research: Solid Earth 129 (1), e2023JB027149, 2024
32024
Lowering the entry bar to HPC-scale uncertainty quantification
L Seelinger, A Reinarz, J Benezech, MB Lykkegaard, L Tamellini, ...
arXiv preprint arXiv:2304.14087, 2023
32023
A high-performance implementation of a robust preconditioner for heterogeneous problems
L Seelinger, A Reinarz, R Scheichl
Parallel Processing and Applied Mathematics: 13th International Conference …, 2020
32020
Democratizing uncertainty quantification
L Seelinger, A Reinarz, MB Lykkegaard, R Akers, AMA Alghamdi, ...
Journal of Computational Physics 521, 113542, 2025
22025
Robust domain decomposition methods for heterogeneous problems
L Seelinger
Master’s thesis, University of Heidelberg, 5 2017, 2017
22017
Lowering the Entry Barrier to Uncertainty Quantification
L Seelinger, A Reinarz
Collections 56 (08), 2023
2023
EFFICIENT NONLINEAR MULTISCALE SPECTRAL GFEM APPLIED TO COMPOSITE AEROSPACE STRUCTURES
J Bénézech, L Seelinger, A Reinarz, TJ Dodwell, R Butler, R Scheichl
23rd International Conference on Composite Materials, ICCM 2023, 2023
2023
Parallel uncertainty quantification with fused simulations
S Wolf, L Seelinger, M Bader
International Conference on Data-Integrated Simulation Science (SimTech2023), 2023
2023
SCALABLE AND LOCALISED MODEL ORDER REDUCTION APPLIED TO COMPOSITE AERO-STRUCTURES
J Bénézech, L Seelinger, P Bastian, T Dodwell, R Butler, R Scheichl
20th European Conference on Composite Materials: Composites Meet …, 2022
2022
Multiscale Methods for High Performance Uncertainty Quantification
L Seelinger
2022
UM-Bridge: From Linking Models and Methods to Turn-Key HPC in the Cloud
L Seelinger, A Reinarz, R Scheichl
Multiscale modelling of aerospace composites with lamination defects
A Reinarz, T Dodwell, T Fletcher, L Seelinger, R Butler, R Scheichl
Book of Abstracts ENUMATH 2017, 265, 0
Efficient Iterative Solution of Anisotropic and Heterogeneous Problems with Applications to Composite Materials
L Seelinger, A Reinarz, R Scheichl
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Articles 1–20