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The chair of Computational Electromagnetics (CEM) is part of the institute TEMF and the Centre for Computational Engineering. Teaching and research focus on the third pillar of understanding: computer simulation. Besides theory and observation, it can give answers to questions from engineering and science.

Mission statement

Electrotechnical systems are becoming more and more complex. Innovative devices are designed closely to what is technically and physically possible. Consequently, the theory required to analyze the corresponding systems is becoming increasingly involved as well. Experimental investigations are often too complex, too risky, or too costly and the presence of test probes might corrupt the experiment data. Computational Electromagnetics is in those cases the most appropriate way to gain knowledge.

Computer model (image based on iStock.com/simonkr)
Computer model (image based on iStock.com/simonkr)

Computer-based modeling, analysis, simulation, and optimization are a cost-effective and efficient alternative to investigate real-world applications and to engineer new technical solutions. The digital models (`virtual prototypes') support research, development, design, construction, evaluation, production, and give further insight into the operation of devices like semiconductors, filters, antennas or electrical machines. It allows us to find optimal strategies which address key issues in future technical developments both for the economy and for society in areas such as energy, health, safety, and mobility.

The main subject of research and teaching at the chair is the modeling and simulation of electromagnetic and multiphysical phenomena by means of numerical solutions of partial differential equations and in particular of Maxwell's equations. We are working on all the development stages, mainly on modeling and the development of numerical algorithms, but also on real-world applications. For this work existence, uniqueness and differentiability of solutions, robustness, convergence, and scalability of the algorithms are as important as their efficient implementation, e.g., acceleration of numerical linear algebra by Graphics Processing Units (GPUs).

News

  • 2019/11/15

    We are moving!

    The CEM group moves to S2|17

    The CEM group moves on Nov. 26 from 2nd and 3rd floor of building S4|10 (Dolivostr.) to the ground floor of building S2|17 (Schlossgartenstr.).

  • 2019/09/26

    Young researacher awards for CEM at URSI 2019

    Young scientist award and 2nd place in best paper award competition at URSI KHB 2019 for N. Georg

    The Young Scientist Awards and Young Scientist Best Paper Awards were awarded at the Kleinheubacher Conference to promote young scientists. The winners of a Young Scientist Award were selected after an evaluation based on the submitted documents. In addition to originality and creativity, form and clarity of the submitted work were judged.

  • 2019/09/02

    GAMM Junior membership for Idoia Cortes Garcia

    Awarded for outstanding achievements during Master/PhD level

    GAMM juniors may be selected from candidates who have demonstrated outstanding achievements in diploma and/or doctoral theses in the field of applied mathematics or mechanics.

  • 2019/07/24

    IEEE Award for Lorenzo Bortot (CEM and CERN)

    IEEE Council on Superconductivity awards Graduate Study Fellowship to Lorenzo Bortot

    The fellowship is awarded annually to a full-time graduate student pursuing a PhD (or equivalent) degree in the area of applied superconductivity, at an accredited college or university of recognized standing worldwide. The intention of the award is to encourage students to enter and contribute to the field of applied superconductivity.