| Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models K Kontolati, D Loukrezis, KRM Dos Santos, DG Giovanis, MD Shields International Journal for Uncertainty Quantification 12 (4), 2022 | 28 | 2022 |
| Assessing the performance of Leja and Clenshaw-Curtis collocation for computational electromagnetics with random input data D Loukrezis, U Römer, H De Gersem International Journal for Uncertainty Quantification 9 (1), 2019 | 28* | 2019 |
| A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems K Kontolati, D Loukrezis, DG Giovanis, L Vandanapu, MD Shields Journal of Computational Physics 464, 111313, 2022 | 27 | 2022 |
| Hybrid modeling: towards the next level of scientific computing in engineering S Kurz, H De Gersem, A Galetzka, A Klaedtke, M Liebsch, D Loukrezis, ... Journal of Mathematics in Industry 12 (1), 8, 2022 | 27 | 2022 |
| Robust adaptive least squares polynomial chaos expansions in high‐frequency applications D Loukrezis, A Galetzka, H De Gersem International Journal of Numerical Modelling: Electronic Networks, Devices …, 2020 | 22 | 2020 |
| Data‐driven solvers for strongly nonlinear material response A Galetzka, D Loukrezis, H De Gersem International Journal for Numerical Methods in Engineering 122 (6), 1538-1562, 2021 | 20 | 2021 |
| Enhanced adaptive surrogate models with applications in uncertainty quantification for nanoplasmonics N Georg, D Loukrezis, U Römer, S Schöps International Journal for Uncertainty Quantification 10 (2), 2020 | 20* | 2020 |
| Optimization and uncertainty quantification of gradient index metasurfaces N Schmitt, N Georg, G Brière, D Loukrezis, S Héron, S Lanteri, C Klitis, ... Optical Materials Express 9 (2), 892-910, 2019 | 20 | 2019 |
| Magnetic field simulation with data-driven material modeling H De Gersem, A Galetzka, IG Ion, D Loukrezis, U Römer IEEE Transactions on Magnetics 56 (8), 1-6, 2020 | 19 | 2020 |
| Robust shape optimization of electric devices based on deterministic optimization methods and finite-element analysis with affine parametrization and design elements IG Ion, Z Bontinck, D Loukrezis, U Römer, O Lass, S Ulbrich, S Schöps, ... Electrical Engineering 100 (4), 2635-2647, 2018 | 15 | 2018 |
| Tensor-train approximation of the chemical master equation and its application for parameter inference IG Ion, C Wildner, D Loukrezis, H Koeppl, H De Gersem The Journal of Chemical Physics 155 (3), 2021 | 13 | 2021 |
| Adaptive approximations for high-dimensional uncertainty quantification in stochastic parametric electromagnetic field simulations D Loukrezis Technische Universität Darmstadt, 2019 | 13 | 2019 |
| High‐dimensional uncertainty quantification for an electrothermal field problem using stochastic collocation on sparse grids and tensor train decompositions D Loukrezis, U Römer, T Casper, S Schöps, H De Gersem International Journal of Numerical Modelling: Electronic Networks, Devices …, 2018 | 13 | 2018 |
| Adaptive sparse polynomial chaos expansions via Leja interpolation D Loukrezis, H De Gersem arXiv preprint arXiv:1911.08312, 2019 | 12 | 2019 |
| Influence of spatial dispersion on surface plasmons, nanoparticles, and grating couplers A Pitelet, N Schmitt, D Loukrezis, C Scheid, H De Gersem, C Ciracì, ... JOSA B 36 (11), 2989-2999, 2019 | 11 | 2019 |
| Uqpy v4. 1: Uncertainty quantification with python D Tsapetis, MD Shields, DG Giovanis, A Olivier, L Novak, P Chakroborty, ... SoftwareX 24, 101561, 2023 | 7 | 2023 |
| Grassmannian diffusion maps based surrogate modeling via geometric harmonics KRM dos Santos, DG Giovanis, K Kontolati, D Loukrezis, MD Shields International Journal for Numerical Methods in Engineering 123 (15), 3507-3529, 2022 | 7 | 2022 |
| Approximation and uncertainty quantification of systems with arbitrary parameter distributions using weighted Leja interpolation D Loukrezis, H De Gersem Algorithms 13 (3), 51, 2020 | 7 | 2020 |
| Three-dimensional data-driven magnetostatic field computation using real-world measurement data A Galetzka, D Loukrezis, H De Gersem COMPEL-The international journal for computation and mathematics in …, 2022 | 6 | 2022 |
| An hp‐adaptive multi‐element stochastic collocation method for surrogate modeling with information re‐use A Galetzka, D Loukrezis, N Georg, H De Gersem, U Römer International Journal for Numerical Methods in Engineering 124 (12), 2902-2930, 2023 | 5 | 2023 |
Herbert De GersemInstitut für Theorie Elektromagnetischer Felder, TU DarmstadtVerified email at temf.tu-darmstadt.de
