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Uncertainty quantification for Maxwell\'s equations using stochastic collocation and model order reduction / Peter Benner, Judith Schneider
VerfasserBenner, Peter ; Schneider, Judith
KörperschaftMax-Planck-Institut für Dynamik Komplexer Technischer Systeme
ErschienenMagdeburg : Max Planck Institute for Dynamics of Complex Technical Systems, October 16, 2013
Umfang1 Online-Ressource (16 Seiten = 1,08 MB) : Illustration, Diagramme
SpracheEnglisch
SerieMax Planck Institute Magdeburg Preprints ; 13-19
URNurn:nbn:de:gbv:3:2-64345 
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Uncertainty quantification for Maxwell\'s equations using stochastic collocation and model order reduction [1.08 mb]
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Abstract: Modeling and simulation are important for the design process of new semiconductor structures. Difficulties proceed from shrinking structures increasing working frequencies and uncertainties of materials and geometries. Therefore we consider the time-harmonic Maxwell\'s equations for the simulation of a coplanar waveguide with uncertain material parameters. To analyze the uncertainty of the system we use stochastic collocation with Stroud and sparse grid points. The results are compared to a Monte Carlo simulation. Both methods rely on repetitive runs of a deterministic solver. Hence we compute a reduced model by means of proper orthogonal decomposition to reduce the computational cost. The Monte Carlo simulation and the stochastic collocation are both applied to the full and the reduced model. All results are compared concerning accuracy and computation time.