Herbert De Gersem

Professor

TU Darmstadt

Germany

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Herbert De Gersem is a Professor at TU Darmstadt, Germany. His research focuses on multi-material topology optimization, magnetic flux linkages, and thermal modeling of electric machines. He has published extensively on advanced methods in finite element analysis, transfer learning, and data-driven modeling techniques in the context of electrical engineering and accelerator physics.

Herbert De Gersem

Research Interests

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Articles (23)

Multi-material topology optimization of electric machines under maximum temperature and stress constraints

Methods to Compute Magnetic Flux Linkages Along H-Based Finite Element Formulations

Hybrid Transmission Conditions for the Schwarz Domain Decomposition Method for RF Accelerating Cavities

Comparative Analysis of Resistive Dipole Accelerator Magnets for a Muon Collider

Transfer learning‐based physics‐informed neural networks for magnetostatic field simulation with domain variations

Error approximation and bias correction in dynamic problems using a recurrent neural network/finite element hybrid model

Homogenization of foil windings with globally supported polynomial shape functions

A Parallel-in-Time Adjoint Sensitivity Analysis for a B6 Bridge-Motor Supply Circuit

Data‐driven model‐free modified nodal analysis circuit solver

A Stabilized Circuit-Consistent Foil Conductor Model

Considering Capacitive Effects in Foil Winding Homogenization

Efficient Reduced Magnetic Vector Potential Formulation for the Magnetic Field Simulation of Accelerator Magnets

Thermal Finite-Element Model of Electric Machine Cooled by Spray

Comparison of 2.5D finite element formulations with perfectly matched layers for solving open axisymmetric electromagnetic cavity problems

Low-Frequency Stabilization of Dielectric Simulation Problems with Conductors and Insulators

High-Frequency Modeling of Delta- and Star-Connected Induction Motors

Capacitance calculation of unloaded rolling elements – Comparison of analytical and numerical methods

Hybrid modeling: towards the next level of scientific computing in engineering

Finite Element Extraction of Frequency-Dependent Parasitics

Quasi-3D Magneto-Thermal Quench Simulation Scheme for Superconducting Accelerator Magnets

Low-Frequency Stabilization for FEM Impedance Computation

Simulation Analysis of Critical Parameters for Thermal Stability of Surge Arresters

Mitigation of parasitic losses in the quadrupole resonator enabling direct measurements of low residual resistances of SRF samples

Collaborators (9)

Marc Wenskat

Marco Breschi

Melvin Liebsch

Gerd Juergen Griepentrog

Lukas Daniel Domenig

Eckhard Kirchner

Melina Merkel

Manfred Kaltenbacher

Nicolas Marsic

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