25 citations · 195 across the 36 of their papers we have counts for
6 papers · 1 filter
Quadrupole Magnet Design based on Genetic Multi-Objective Optimization
Eric Diehl, Moritz von Tresckow, Lou Scholtissek +4
This work suggests to optimize the geometry of a quadrupole magnet by means of a genetic algorithm adapted to solve multi-objective optimization problems. To that end, a non-domina…
Adjoint Variable Method for Transient Nonlinear Electroquasistatic Problems
M. Greta Ruppert, Yvonne Späck-Leigsnering, Julian Buschbaum +1
Many optimization problems in electrical engineering consider a large number of design parameters. A sensitivity analysis identifies the design parameters with the strongest influe…
An -adaptive multi-element stochastic collocation method for surrogate modeling with information re-use
Armin Galetzka, Dimitrios Loukrezis, Niklas Georg +2
This paper introduces an -adaptive multi-element stochastic collocation method, which additionally allows to re-use existing model evaluations during either - or -refinem…
Power Module Heat Sink Design Optimization with Ensembles of Data-Driven Polynomial Chaos Surrogate Models
Dimitrios Loukrezis, Herbert De Gersem
We consider the problem of optimizing the design of a heat sink used for cooling an insulated gate bipolar transistor (IGBT) power module. The thermal behavior of the heat sink is…
Transmission operators for the non-overlapping Schwarz method for solving Helmholtz problems in rectangular cavities
Nicolas Marsic, Christophe Geuzaine, Herbert De Gersem
In this paper we discuss different transmission operators for the non-overlapping Schwarz method which are suited for solving the time-harmonic Helmholtz equation in cavities (i.e.…
Tensor train based isogeometric analysis for PDE approximation on parameter dependent geometries
Ion Gabriel Ion, Dimitrios Loukrezis, Herbert De Gersem
This work develops a numerical solver based on the combination of isogeometric analysis (IGA) and the tensor train (TT) decomposition for the approximation of partial differential…