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Dimitrios Loukrezis
Dimitrios Loukrezis
Research scientist, Siemens AG | Research group leader, TU Darmstadt
Verified email at temf.tu-darmstadt.de - Homepage
Title
Cited by
Cited by
Year
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
302022
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
282022
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
272022
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
222020
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
202021
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
202019
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
192020
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
162021
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
152018
Adaptive approximations for high-dimensional uncertainty quantification in stochastic parametric electromagnetic field simulations
D Loukrezis
Technische Universität Darmstadt, 2019
132019
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
132018
Adaptive sparse polynomial chaos expansions via Leja interpolation
D Loukrezis, H De Gersem
arXiv preprint arXiv:1911.08312, 2019
122019
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
112019
Uqpy v4. 1: Uncertainty quantification with python
D Tsapetis, MD Shields, DG Giovanis, A Olivier, L Novak, P Chakroborty, ...
SoftwareX 24, 101561, 2023
72023
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
72022
Approximation and uncertainty quantification of systems with arbitrary parameter distributions using weighted Leja interpolation
D Loukrezis, H De Gersem
Algorithms 13 (3), 51, 2020
72020
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
62023
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
62022
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Articles 1–20