Ultra-broadband infrared metamaterial absorber based on MDMDM structure for optical sensing

Abstract

Infrared observation is a crucial tool in the study of astronomical celestial bodies. Metamaterials have a vast prospect for applications in the field of optics due to their unique electromagnetic tunable characteristics. In order to obtain an ultra-broadband high absorption material in the infrared region, we proposed a metal-dielectric-metal-dielectric-metal (MDMDM) metamaterial absorber using a titanium (Ti) nano-cross layer based on surface plasmon polariton (SPP) resonance and magnetic resonance cavity principles. The geometrical parameters of each layer have been examined carefully. The influence of incident angle from 0° to 60° is investigated for transverse electric and transverse magnetic plane-waves. Near-perfect absorption performance is achieved from near-infrared to mid-infrared region. The average absorption reaches as high as 97.41% from 2.05 to 6.08 μm. The absorber exhibits polarization-sensitive characteristics. The absorption peaks are 99.50% and 99.80% at 2.55 and 5.24 μm, respectively. The proposed material has potential applications in astronomical imaging, volcano and fire detection, remote sensing, biological monitoring, and other optical devices.

High-performance absorber with substitutable materials for short-wave infrared sensing

“…Over the last decade, many researchers have shown significant interest in the optical absorption properties of MPAS. The spectral research range of MPAS has been further expanded to include visible light (Cao et al, 2014;Lin et al, 2019), near-infrared (Ding et al, 2016;Lei et al, 2018), mid-infrared (Ma et al, 2013;Zhao et al, 2021;Li et al, 2023;Zhang et al, 2024), long-wavelength infrared (Ruan et al, 2021;Qin et al, 2022;Wang et al, 2024), terahertz (Liu and Song, 2021;Wang et al, 2022), and microwave (Hou et al, 2021;Xu et al, 2021) bands. Metamaterials have a wide range of applications in multiple fields, including solar energy absorption (Lin et al, 2020), filters (McCrindle et al, 2013), and imaging (Fan et al, 2017).…”