Electromagnetic Energy Engineering

Theory and Application of Computational Electromagnetics

With the remarkable advances in computer performance and the widespread diffusion of Internet technology in recent years, computational science and engineering have become increasingly important. Even in the development of electrical and electronic equipment, computer simulation of electromagnetic fields and other aspects are becoming essential. In this lab, we deal with the challenges of increasing the speed, scale, and precision of electromagnetic field computations, and pursue the development of high-precision, high-efficiency computational techniques for electromagnetic analysis.

Academic Staff

Tetsuji MATSUO

Tetsuji MATSUOProfessor (Graduate School of Engineering)

Research Interests

  • Computational electromagnetics
  • Magnetic material modeling


TEL: +81-75-383-2212
FAX: +81-75-383-2213
E-mail: tmatsuo@kuee.kyoto-u.ac.jp

Takeshi MIFUNE

Junior Associate Professor (Graduate School of Engineering)

Research Interests

  • Computational electromagnetics
  • Parallel computing


TEL: +81-75-383-2217
E-mail: mifune@fem.kuee.kyoto-u.ac.jp

Introduction to R&D Topics

High-speed, large-scale electromagnetic field simulations

With the aim of producing groundbreaking software for performing high-speed, large-scale electromagnetic simulations, we are working to develop faster computational techniques, focusing on fundamental techniques for electromagnetic-field analysis, such as the finite-element method and the finite-difference time-domain method. Research is particularly focused on multigrid preconditioning methods such as AMG, which has attracted much interest as a fast linear solver, and efficient parallel processing algorithms for these methods.

Modeling the magnetic characteristics of magnetic materials

Magnetic materials have complex magnetic characteristics, such as hysteretic properties, which can reduce the precision of electromagnetic-field computations. In view of this we are conducting research into high-precision modeling methods for the vector magnetic hysteretic properties of silicon steel sheets, which are widely used for iron cores.

Multiscale computational magnetics

The complex magnetic characteristics mentioned above are derived from the microscopic magnetic domain structure within magnetic materials. We are thus pursuing research into multiscale computational magnetics to describe the influence of microscopic behavior of magnetic domains and domain walls on macroscopic magnetic properties.