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ELECTROMAGNETIC SIMULATION USING THE FDTD METHOD WITH PYTHON
Third Edition
JENNIFER E. HOULEDENNIS M. SULLIVAN
Copyright © 2020 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada.
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Library of Congress Cataloging‐in‐Publication Data:
hardback: 9781119565802
To Bijan
—Jennifer E. Houle
ABOUT THE AUTHORS
Jennifer E. Houle received the B.S. degree in electrical engineering from the University of Idaho in 2005. Between 2005 and 2012, she was an engineer in the semiconductor industry. In 2016, she received the M.S. degree in electrical engineering from the University of Idaho and has since been active in quantum and electromagnetic simulation. She is presently the Vice President for Research at Moscow‐Berlin Simulations.
Dennis M. Sullivan is a professor of Electrical and Computer Engineering at the University of Idaho. He has done extensive work in the fields of electromagnetic and quantum simulation including EM dosimetry, hyperthermia cancer therapy, nonlinear optics, and quantum semiconductors. In 1997, Dr. Sullivan received the award for the “Best Paper by a Young Investigator” from the IEEE Antennas and Propagation Society. In 2013, he was made a fellow of IEEE. He is also the author of Quantum Mechanics for Electrical Engineers and Signals and Systems for Electrical Engineers I.
PREFACE
The purpose of the third edition of this book remains the same as that of the first two editions: to enable the reader to learn the use of the finite‐difference time‐domain (FDTD) method in a manageable amount of time. For this reason, the first four chapters are fundamentally the same as previous editions. The major difference is the code has now been written in Python and each program contains the code for graphical outputs. The goal of these four chapters is to take the reader through one‐, two‐, and three‐dimensional FDTD simulation and, at the same time, present the techniques for dealing with more complicated media. In addition, some basic applications of signal processing theory are explained to enhance the effectiveness of FDTD simulation.
Chapter 5 addresses some of the advantages of Python and presents some programming topics the reader may not be familiar with. Some general programming strategies and best practices are discussed, and these practices are applied to an FDTD program. Finally, an introduction to interactive widgets is presented. This is a very useful feature that can help make programs that are user‐friendly to those without programming knowledge. This chapter is geared toward those who know a limited amount about Python.
Chapter 6 contains an example of a more complicated engineering project: simulating hyperthermia treatment. This is based on research done by the authors to simulate an annular phased array to plan hyperthermia cancer treatment. This chapter is meant to illustrate the power and practical application of FDTD simulations to model how a solution is obtained. The principles applied are all explained in Chapters 1–4.
Jennifer E. Houle and Dennis M. Sullivan
GUIDE
