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Theses and Dissertations

Genetic Programming in Designing Advanced Metamaterial Impedance Surfaces

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Date:  Fri, December 09, 2022
Time:  9:00am - 10:00am
Location:  Holmes Hall 389; online available, see below registration info
Speaker:  Edmond Chong, candidate for MS, advisor: Dr. Magdy Iskander


Metamaterials are artificial materials that possess properties otherwise not found in nature. The current state of metamaterial absorbers (MMA) in the lower gigahertz frequency (1-11 GHz) is sparse and commonly resides in the X-band (8-12 GHz). Typical 2D MMA have topologies designed by trial and error and are either compact with discrete operational frequencies or bulky and lossy to achieve broadband performance. Hybrid genetic programming (HGP) is proposed to create new compact design topologies in the lower gigahertz frequency without high-loss materials. HGP can create new topologies optimized per input parameters, such as low frequency and high broadband absorptivity. These designs are built and simulated in Ansys High-Frequency Simulation Software (HFSS) and evaluated by HGP. Additional topologies, such as graphene and resistive sheet patterning, are explored and implemented with HGP to create compact low-frequency high absorptivity MMAs.

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