Computational Methods for Electric Machines
The Special Semester on Computational Methods for Electric Machines will be held at the Johann Radon Institute for Computational and Applied Mathematics (RICAM) from October 6 to December 12, 2025.
Overview
Electro-mechanical energy conversion has important applications in power generation, industrial manufacturing, and electric mobility. Technological innovations in electric machinery thus can make a significant contribution to increasing sustainability and reaching our climate goals.
This special semester aims at bringing together experts from the applied sciences and industry to discuss the challenges and recent advances in theoretical foundations and computational tools required for the next level of electric machine design. Of particular interest are
- industrial applications
- advances in material modeling
- novel simulation paradigms
- design optimization
The scientific programme is accompanied by a Training-school on "Electric machine simulation" targeted at junior scientists who are interested in getting involved in this research field.
Organizers
- Herbert Egger (JKU & RICAM)
- Peter Gangl (RICAM)
Program
Electric Machine Simulation
Organizers
- Herbert Egger (JKU & RICAM)
- Herbert De Gersem (TU Darmstadt)
- Michal Wiesheu (TU Darmstadt)
Advances in Isogeometric Analysis
Organizers
- Sebastian Schöps (TU Darmstadt)
- Stefan Takacs (JKU)
- Rafael Vasquez (University of Santiago de Compostela)
Advanced techniques for design optimization in engineering applications
Organizers
- Théodore Cherrière (CentraleSupélec Paris)
- Peter Gangl (RICAM)
Fast solvers for nonlinear time-dependent problems
Organizers
- Martin Gander (Université de Genève)
- Ulrich Langer (RICAM)
- Andreas Schafelner (JKU Linz)
Magnetic Material Modelling
Organizers
- Manfred Kaltenbacher (TU Graz)
- Thomas Schrefl (University for Continuing Education Krems)
Data and Physics-Based Modelling, Simulation and Optimization in Industrial Applications
Organizers
- Peter Gangl (RICAM)
- Zoltán Horváth (Széchenyi István University, Győr)
- Ronny Ramlau (JKU & RICAM)
