39 citations · 291 across the 31 of their papers we have counts for
5 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…
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…
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…
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems
Katiana Kontolati, Dimitrios Loukrezis, Dimitris G. Giovanis +2
Constructing surrogate models for uncertainty quantification (UQ) on complex partial differential equations (PDEs) having inherently high-dimensional stoc…