Search Results for author: Herbert De Gersem

Found 7 papers, 5 papers with code

Quadrupole Magnet Design based on Genetic Multi-Objective Optimization

no code implementations17 Nov 2022 Eric Diehl, Moritz von Tresckow, Lou Scholtissek, Dimitrios Loukrezis, Nicolas Marsic, Wolfgang F. O. Müller, Herbert De Gersem

This work suggests to optimize the geometry of a quadrupole magnet by means of a genetic algorithm adapted to solve multi-objective optimization problems.

Robust Adaptive Least Squares Polynomial Chaos Expansions in High-Frequency Applications

1 code implementation16 Dec 2019 Dimitrios Loukrezis, Armin Galetzka, Herbert De Gersem

We present an algorithm for computing sparse, least squares-based polynomial chaos expansions, incorporating both adaptive polynomial bases and sequential experimental designs.

Computational Engineering, Finance, and Science

Coupled Simulation of Transient Heat Flow and Electric Currents in Thin Wires: Application to Bond Wires in Microelectronic Chip Packaging

2 code implementations24 Sep 2018 Thorben Casper, Ulrich Römer, Sebastian Schöps, Herbert De Gersem

An important application is the use of bond wires in microelectronic chip packaging.

Computational Engineering, Finance, and Science

Automated Netlist Generation for 3D Electrothermal and Electromagnetic Field Problems

2 code implementations23 Sep 2018 Thorben Casper, David Duque, Sebastian Schöps, Herbert De Gersem

We present a method for the automatic generation of netlists describing general three-dimensional electrothermal and electromagnetic field problems.

Computational Engineering, Finance, and Science 35Q61, 35Q79, 65Z05, 78A25, 78M12, 94C99, 80A20, 80M25 I.6.3; J.2

Systems of Differential Algebraic Equations in Computational Electromagnetics

1 code implementation19 Feb 2018 Idoia Cortes Garcia, Sebastian Schöps, Herbert De Gersem, Sascha Baumanns

Starting from space-discretisation of Maxwell's equations, various classical formulations are proposed for the simulation of electromagnetic fields.

Numerical Analysis Computational Physics 34A09, 35Q61, 78A25, 78M12, 65D30

Assessing the Performance of Leja and Clenshaw-Curtis Collocation for Computational Electromagnetics with Random Input Data

1 code implementation19 Dec 2017 Dimitrios Loukrezis, Ulrich Römer, Herbert De Gersem

We consider the problem of quantifying uncertainty regarding the output of an electromagnetic field problem in the presence of a large number of uncertain input parameters.

Computational Engineering, Finance, and Science Numerical Analysis Numerical Analysis Computation 78Axx, 65D30, 65D32, 65D15, 65D05, 68U20, 65C20

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