Exploring Electromagnetic Physics with Computers: from Classical to Chaotic Wave Dynamics
|Event Date:||March 7, 2019|
|Speaker Affiliation:||University of New Mexico|
|School or Program:||Electrical and Computer Engineering
Applied Electromagnetics Group
University of New Mexico
The classical electromagnetic (EM) theory guided by Maxwell’s Equations has been around for over 150 years. It has an incredible impact on many modern technologies such as antennas and wireless communication, integrated circuits and computer technologies, remote sensing, lasers and optoelectronics, and more. Nowadays, ever-increasing sophistications in EM systems and the continuous trend towards higher bit rates have been pushing the problem size towards extreme scales. Furthermore, in the short-wavelength regime, the wave scattering process can be very sensitive to details. It results in a very high variability of wave distributions, and makes the deterministic solution relevant only to the specific realization. Consequently, there is enormous interest in developing new methodologies for both qualitative and quantitative statistical analyses of complex wave systems.
This seminar will discuss recent progress in mathematical and computational models that enable the prediction and discovery of classical, chaotic and quantum electrodynamic phenomena. These include the geometry-aware domain decomposition methodology for extreme-scale EM computation, the stochastic Green’s function method for the solution of Maxwell’s equations in wave-chaotic media, and physics-oriented statistical wave models for information transmission in complex scattering environments. The significance of these methods will be illustrated through several challenging applications, including (1) intrasystem EM interference (EMI) analysis of product-level IC and electronics, (2) statistical analysis of EM fields and effects inside complex enclosures, (3) channel capacity and coherence of wireless communication in multipath, ray-chaotic environments, and (4) quantum transport in mesoscopic and disordered media.
Zhen Peng is currently an Assistant Professor with the Electrical and Computer Engineering (ECE) Department at the University of New Mexico (UNM). He received the Ph.D. degree in Electrical Engineering from the Chinese Academy of Sciences in 2008. From 2009 to 2013, he was a Senior Research Associate with the ElectroScience Laboratory at the Ohio State University.
His research is directed towards a long-term goal of exploring wave physics with intelligent algorithms on state- of-the-art computers, where virtual experiments can be performed for the prediction, discovery, and design of novel electromagnetic systems at unprecedented scales. His research work has an extensive impact on both the civilian and commercial engineering applications, ranging from wireless communication, reconfigurable antennas, RF/microwave devices, artificial materials, to IC and electronics.
Dr. Peng has authored and given over 40 journal papers, 120 conference papers, 30 invited talks, and 5 short courses. He is a recipient of 2018 NSF CAREER Award, 2018 Best Transaction Paper Award - IEEE Trans. Components, Packaging and Manufacturing Technology, 2018 ICEAA IEEE - AWPC Award, 2017 IEEE Albuquerque Section Outstanding Young Engineer Award, 2016 UNM ECE Department's Distinguished Researcher Award, 2015 Applied Computational Electromagnetics Society (ACES) Early Career Award, 2014 IEEE Antenna and Propagation Sergei A. Schelkunoff Transactions Prize Paper Award, and a number of Young Scientist Awards and Best Paper Awards from various conferences.