Sparse polynomial chaos expansions: Literature survey and benchmark N Lüthen, S Marelli, B Sudret SIAM/ASA Journal on Uncertainty Quantification 9 (2), 593-649, 2021 | 190 | 2021 |
Optimal sensor placement for artificial swimmers S Verma, C Papadimitriou, N Lüthen, G Arampatzis, P Koumoutsakos Journal of Fluid Mechanics 884, 2020 | 37 | 2020 |
Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications N Lüthen, S Marelli, B Sudret International Journal for Uncertainty Quantification 12 (3), 2022 | 33 | 2022 |
A spectral surrogate model for stochastic simulators computed from trajectory samples N Lüthen, S Marelli, B Sudret Computer Methods in Applied Mechanics and Engineering 406, 115875, 2023 | 13 | 2023 |
An improved a priori error analysis of Nitsche’s method for Robin boundary conditions N Lüthen, M Juntunen, R Stenberg Numerische Mathematik 138, 1011-1026, 2018 | 13 | 2018 |
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions N Lüthen, O Roustant, F Gamboa, B Iooss, S Marelli, B Sudret International Journal for Uncertainty Quantification 13 (6), 57-82, 2023 | 12 | 2023 |
Geometry of martensite needles in shape memory alloys S Conti, M Lenz, N Lüthen, M Rumpf, B Zwicknagl Comptes Rendus. Mathématique 358 (9-10), 1047-1057, 2020 | 8 | 2020 |
Numerical shape optimization of branching-periodic elastic structures N Lüthen Master thesis, Univerisity of Bonn, 2016 | 2 | 2016 |
Spectral decomposition of H1 (μ) and Poincaré inequality on a compact interval—Application to kernel quadrature O Roustant, N Lüthen, F Gamboa Journal of Approximation Theory 301, 106041, 2024 | 1 | 2024 |
Branching Structures in Elastic Shape Optimization N Lüthen, M Rumpf, S Tölkes, O Vantzos Shape Optimization, Homogenization and Optimal Control: DFG-AIMS workshop …, 2018 | | 2018 |