Abstract

In this work, we present the analysis and design of an efficient nanoantenna sensor based on localized surface plasmon resonance (LSPR). A high refractive index dielectric nanostructure can exhibit strong radiation resonances with high electric field enhancement inside the gap. The use of silicon instead of metals as the material of choice in the design of such nanoantennas is advantageous since it allows the integration of nanoantenna-based structures into integrated-optoelectronics circuits manufactured using common fabrication methods in the electronic industry. It also allows the suggested devices to be mass-produced at a low cost. The proposed nanoantenna consists of a highly doped silicon nanorod and is placed on a dielectric substrate. Different shapes and different concentrations of doping for the nanoantenna structures that are resonant in the mid-infrared region are investigated and numerically analyzed. The wavelength of the enhancement peak as well as the enhancement level itself vary as the surrounding material changes. As a result, sensors may be designed to detect molecules via their characteristic vibrational transitions. The 3D FDTD approach via Lumerical software is used to obtain the numerical results. The suggested nanoantennas exhibit ultra-high local field enhancement inside the gap of the dipole structure.

Details

Title
Giant localized electromagnetic field of highly doped silicon plasmonic nanoantennas
Author
Alsayed, Ahmad E. 1 ; Ghanim, AbdelRahman M. 1 ; Yahia, Ashraf 2 ; Swillam, Mohamed A. 3 

 Ain Shams University, Department of Physics, Faculty of Science, Cairo, Egypt (GRID:grid.7269.a) (ISNI:0000 0004 0621 1570); The American University in Cairo, Department of Physics, School of Sciences and Engineering, New Cairo, Egypt (GRID:grid.252119.c) (ISNI:0000 0004 0513 1456) 
 Ain Shams University, Department of Physics, Faculty of Science, Cairo, Egypt (GRID:grid.7269.a) (ISNI:0000 0004 0621 1570) 
 The American University in Cairo, Department of Physics, School of Sciences and Engineering, New Cairo, Egypt (GRID:grid.252119.c) (ISNI:0000 0004 0513 1456) 
Pages
5793
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2797995916
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.