Hybrid Genetic Programming-Based Comparative Design of Broadband Metamaterial Absorbers Using Graphene, Resistive Sheets, and Carbon Fiber

Created by W.Langdon from gp-bibliography.bib Revision:1.7650

@InProceedings{Chong:2023:USNC-URSI,

• author = "Edmond Chong and Sunny Zhang and Magdy F. Iskander and Zhengqing Yun",
• booktitle = "2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI)",
• title = "Hybrid Genetic Programming-Based Comparative Design of Broadband Metamaterial Absorbers Using Graphene, Resistive Sheets, and Carbon Fiber",
• year = "2023",
• pages = "1249--1250",
• abstract = "Hybrid genetic programming (HGP) is proposed to create new design topologies in the lower gigahertz frequency with new materials such as graphene, resistive sheet, and carbon fiber. HGP can create new topologies optimised 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. Graphene, resistive sheet, and carbon fiber patterning are explored and implemented with HGP to create low-gigahertz frequency and high-absorptivity MMAs. The graphene, resistive sheet, and carbon fiber-based patterned designs achieved 80percent bandwidth above 80percent absorptivity from 4.6 to 11 GHz, up to 15 GHz, from 3.83 to 9.13 GHz, and from 3.77 to 10.28 GHz, respectively.",
• keywords = "genetic algorithms, genetic programming, Conferences, Graphene, Bandwidth, Software, Metamaterials, Broadband communication",
• DOI = "doi:10.1109/USNC-URSI52151.2023.10237681",
• ISSN = "1947-1491",
• month = jul,
• notes = "Also known as \cite{10237681}",

}

Genetic Programming entries for Edmond C M Chong Sunny Zhang Magdy F Iskander Zhengqing Yun

Citations