| 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 | 25 | 2018 |
| MUQ: The MIT uncertainty quantification library M Parno, A Davis, L Seelinger Journal of Open Source Software 6 (68), 3076, 2021 | 22 | 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 | 20 | 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 | 16 | 2021 |
| 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 | 11 | 2023 |
| Multilevel spectral domain decomposition P Bastian, R Scheichl, L Seelinger, A Strehlow SIAM Journal on Scientific Computing 45 (3), S1-S26, 2022 | 11 | 2022 |
| 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 | 7* | 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 | 3 | 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 | 3 | 2023 |
| 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 |
| Democratizing uncertainty quantification L Seelinger, A Reinarz, MB Lykkegaard, R Akers, AMA Alghamdi, ... Journal of Computational Physics, 113542, 2024 | 2 | 2024 |
| Robust domain decomposition methods for heterogeneous problems L Seelinger Master’s thesis, University of Heidelberg, 5 2017, 2017 | 2 | 2017 |
| 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 | | |
Robert ScheichlHeidelberg UniversityVerified email at uni-heidelberg.de
