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Novel Genetic Algorithm Based Method for Measuring Complex Permittivity of Dielectric, Lossy and Multilayered Materials with Thin Features Using Open-Ended Coaxial Probe in 1-10 GHz (TIME CHANGE!!)


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Date:  Thu, May 04, 2023
Time:  12:30pm - 2:00pm
Location:  online, see below registration info
Speaker:  Sunny Zhang, MS candidate, advisor: Dr. Magdy Iskander

Abstract

The growing demands for novel smart and enabling metamaterial designs and semiconductor devices in health, energy, communication, and automatic industries have attracted researchers to develop designs of materials with “thin” features. For broadband complex permittivity measurements using Open-Ended Coaxial Probe (OECP) in 1 to 10 GHz, thin sample measurements present significant challenges since a large amount of power may go through the sample making the measured reflection coefficient values unreliable. We will present a new approach based on Genetic Algorithm (GA) by creating the same arrangement in HFSS simulation with measurement for determining the complex permittivity of thin material. Good results of multiple thin, dielectric, lossy, and multilayered materials as well as measurement errors and limitations, will be presented.

Keywords:  

Thin material, Open-Ended Coaxial Probe, Complex Permittivity Measurement, Genetic Algorithm, HFSS, Metamaterial

Biography

Sunny Zhang is a MS candidate in Electrical and Computer Engineering at the University of Hawaii at Manoa. He obtained his bachelor’s degree in Electrical and Computer Engineering at the University of Hawaii at Manoa in December 2021. He is a member of the Hawaii Advanced Wireless Technologies Institute. His current research focus is on material characterization in RF and microwave frequency.

Register for connection info at https://forms.gle/yeGtuLSFYqgbEJg86


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