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
40 2021 Optimal sensor placement for artificial swimmers S Verma, C Papadimitriou, N Lüthen, G Arampatzis, P Koumoutsakos
Journal of Fluid Mechanics 884, 2020
31 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
29 2022 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 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
10 2023 Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions N Lüthen, O Roustant, F Gamboa, B Iooss, S Marelli, B Sudret
arXiv preprint arXiv:2107.00394, 2021
8 2021 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 Bayesian quadrature for O Roustant, N Lüthen, F Gamboa
arXiv preprint arXiv:2207.14564, 2022
2022 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 