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Speaker: Dr. Costas Sarris, Professor, Department of Electrical and Computer Engineering, University of Toronto
Topic: Efficient FDTD-based Modeling of Finite Periodic Structures
Abstract:
In this talk, we present a computational framework that exploits periodic boundary conditions to accelerate the modeling of the interaction of finite periodic structures with practical sources, such as Gaussian and Bessel beams. To date, these problems are addressed by the brute-force simulation of a finite number of unit cells in all periodic directions, terminated by perfectly matched layers. Building on a recently introduced technique for the FDTD-based modeling of finite periodic structures, combining unit cell simulations with fast simulations of the edges of a finite structure, we introduce arbitrary sources via the array scanning method. Hence, our approach is both efficient and practical, broadband (as it is time domain-based) and highly parallelizable (as it employs multiple, small-sized, independent simulations for wave-vectors within the Brillouin zone of the structure). To elucidate the proposed approach, we present examples of cylindrical wave and Gaussian beam interactions with finite photonic crystal and grating geometries, efficiently replicating the results of brute-force simulations on MEEP, a popular open- source FDTD package.
Bio:
Costas Sarris received the Ph.D. degree in electrical engineering and the M.Sc. degree in applied mathematics from the University of Michigan, Ann Arbor, MI, USA, both in 2002. He is a Professor with the Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada. His research area is computational electromagnetics, with an emphasis on time-domain modeling, adaptive mesh refinement, enhanced stability, and higher order methods. He also works on physics-based wireless propagation models (with full-wave, asymptotic, and hybrid techniques), uncertainty quantification, and scientific machine learning.
Dr. Sarris is an IEEE Fellow and a Distinguished Lecturer of the IEEE Antennas and Propagation Society (AP-S) for 2024- 2026. He served as the Editor-in-Chief of the IEEE JOURNAL ON MULTISCALE AND MULTIPHYSICS COMPUTATIONAL TECHNIQUES (2019-2024). He was a recipient of the IEEE MTT-S Outstanding Young Engineer Award in 2013 and an Early Researcher Award from the Ontario Government in 2007. He was a Guest Editor of the IEEE Microwave Magazine’s Special Issue on machine learning for microwave engineering (Oct. 2021), and an Associate Editor for the IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES (2009-2013) and the IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS (2007-2009).
Date & Time: April 7, 2025, 2:00pm-3:30pm
Cost: Free
Event Co-Sponsored by IEEE AP-S and MTT-S Dallas
Room: Suite – ML2 1.218, , The University of Texas at Dallas,, 800 W Campbell Rd, Richardson, Texas, United States, 75080, Virtual: https://events.vtools.ieee.org/m/479095