Linus Seelinger

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	All	Since 2019
Citations	104	96
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Robert ScheichlHeidelberg UniversityVerified email at uni-heidelberg.de
Anne ReinarzDurham UniversityVerified email at durham.ac.uk
Tim DodwellCo founder & CTO at digiLab, Professor at University ExeterVerified email at digilab.co.uk
Richard ButlerUniversity of BathVerified email at bath.ac.uk
Peter BastianProfessor für Wissenschaftliches Rechnen, Universität HeidelbergVerified email at iwr.uni-heidelberg.de
Matthew ParnoSolea EnergyVerified email at soleaenergy.com
Andrew DavisCourant Institute of Mathematical SciencesVerified email at alum.mit.edu
Leonhard RannabauerTechnische Universität MünchenVerified email at in.tum.de
Mikkel Bue LykkegaardUniversity of ExeterVerified email at exeter.ac.uk
Lorenzo TamelliniCNR-IMATIVerified email at imati.cnr.it
Niu ZihuaLMU MunichVerified email at geophysik.uni-muenchen.de
Alice-Agnes GabrielAssociate Professor, Scripps Institution of Oceanography, UCSD; Guest Professor, LMU MunichVerified email at ucsd.edu
Heiner IgelLuwdig Maximilians University MunichVerified email at lmu.de
Wolfgang BangerthColorado State UniversityVerified email at colostate.edu
Jakob Sauer JørgensenSenior Researcher, Technical University of Denmark (DTU), DenmarkVerified email at dtu.dk
Nicolai A. B. RiisPostdoc, Technical University of DenmarkVerified email at dtu.dk
Kurt FreyInstitute for Disease ModelingVerified email at idmod.org
Katherine RosenfeldInstitute for Disease ModelingVerified email at gatesfoundation.org
Massimiliano MartinelliIMATI "E.Magenes" - C.N.R.Verified email at imati.cnr.it
Amal AlghamdiDTU ComputeVerified email at dtu.dk

Linus Seelinger

Karlsruhe Institute of Technology (KIT)

Verified email at linusseelinger.de - Homepage

Uncertainty Quantification Numerical Methods High Performance Computing


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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	23	2018
MUQ: The MIT uncertainty quantification library M Parno, A Davis, L Seelinger Journal of Open Source Software 6 (68), 3076, 2021	21	2021
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	18	2020
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	13	2021
Multilevel spectral domain decomposition P Bastian, R Scheichl, L Seelinger, A Strehlow SIAM Journal on Scientific Computing 45 (3), S1-S26, 2022	8	2022
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	7	2023
Scalable multiscale-spectral GFEM with an application to composite aero-structures J Bénézech, L Seelinger, P Bastian, R Butler, T Dodwell, C Ma, ... arXiv preprint arXiv:2211.13893, 2022	5*	2022
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	3	2020
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	2	2024
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	2	2023
Robust domain decomposition methods for heterogeneous problems L Seelinger Master’s thesis, University of Heidelberg, 5 2017, 2017	2	2017
Democratizing Uncertainty Quantification L Seelinger, A Reinarz, MB Lykkegaard, AMA Alghamdi, D Aristoff, ... arXiv preprint arXiv:2402.13768, 2024		2024
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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