24 February 2024 | Nursafwanah Ramizah Sabaruddin, Yu Ming Tan, Sy-Hann Chen, Chung-Ting Chou Chao, Chee Ming Lim, Roshan Thotagamuge, Muhammad Raziq Rahimi Kooh, Yuan-Fong Chou Chau
This study proposes a broadband metamaterial absorber that integrates metal and graphene metasurfaces with dielectric spacers to create a cavity resonant effect. The structure consists of a gold-based patterned metasurface as the top layer, a graphene-based patterned metasurface as the middle layer, and a grounded gold film with SiO2 spacers between them. The absorptance bandwidth is significantly expanded through the plasmonic hybridization of surface, cavity, and gap plasmon resonances. Numerical simulations using COMSOL Multiphysics software validate the design, demonstrating a maximum absorptance value of 98.9% and an absorptance value exceeding 80% within the 0.95 to 1.95 THz range. This versatile performance suggests potential applications in signal sensing, detection, electromagnetic wave absorption, and optoelectronic devices. The article is organized into four main sections: Simulation Models and Principles, Results and Discussions, and Conclusions.This study proposes a broadband metamaterial absorber that integrates metal and graphene metasurfaces with dielectric spacers to create a cavity resonant effect. The structure consists of a gold-based patterned metasurface as the top layer, a graphene-based patterned metasurface as the middle layer, and a grounded gold film with SiO2 spacers between them. The absorptance bandwidth is significantly expanded through the plasmonic hybridization of surface, cavity, and gap plasmon resonances. Numerical simulations using COMSOL Multiphysics software validate the design, demonstrating a maximum absorptance value of 98.9% and an absorptance value exceeding 80% within the 0.95 to 1.95 THz range. This versatile performance suggests potential applications in signal sensing, detection, electromagnetic wave absorption, and optoelectronic devices. The article is organized into four main sections: Simulation Models and Principles, Results and Discussions, and Conclusions.