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Lehrstuhl für Theoretische Elektrotechnik

Prof. Dr. rer. nat. Markus Clemens


  • Tausch der EMV-Übung und -Vorlesung für die KW 45 (4.11-8.11)
    In der KW 45 (4.11 - 8.11) werden Übung und Vorlesung im Fach "Elektromagnetische Verträglichkeit... [mehr]
  • Computational Electromagnetics 2 (CSiS)
    The coordination meeting of the project seminar "Computational Electromagnetics 2 (CSiS)" will take... [mehr]
  • Vorläufige Klausurergebnisse TET I
    Die vorläufigen Ergebnisse der Klausur vom 16.08.2019 zur Veranstaltung "Theoretische... [mehr]
  • Vorläufige Klausurergebnisse TET II (Datum korrigiert)
    Die vorläufigen Ergebnisse der Klausur vom 22.07.2019 zur Veranstaltung "Theoretische... [mehr]
  • Zwei Stellenausschreibungen am Lehrstuhl TET
    Der Lehrstuhl hat zwei Stellenausschreibungen veröffentlicht, die in der Rubrik Offene Stellen zu... [mehr]
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GPU Computing

Focussing on CUDA-based high-performance GPU solvers, the Chair of Electromagnetic Theory is able to develop state-of-the art simulation tools continuously improved using future-oriented methods and algorithms. With help of CUDA and a well established knowledge in GPU-computing, the research group has gained much attention in the domain of computational electromagnetics.

The research in computational electromagnetics is based on classical theory, i.e., Maxwell's equations. They are applied in high performance computing using new numerical methods from applied mathematics. The methods are developed and combined with aspects from software and hardware engineering. The focus is on application in


  • modeling and simulation of electromagnetic fields (i.e., computational electromagnetics) coupled with additional multiphysical phenomena (i.e., computational multiphysics)
  • solving electromagnetic field problems stemming from electrical engineering and natural sciences, in particular
    • numerical testing of electromagnetic compatibility (EMC) in complex scenarios as in automotive design (particularly e-mobility)
    • numerical dosimetry of biological organisms in complex electromagnetic exposure, e.g., to ensure occupational safety and health
    • simulation of complex systems in electromagnetic energy transmission, i.e., simulation of high voltage insulators
    • development, implementation and optimization of parallel and GPU-accelerated algorithms for electromagnetic field problems