Enhancement of graphene absorption: a numerical formula to design a suitable Fabry-Perot cavity in a terahertz spectral window

Pulimi Mahesh, Damodar Panigrahy, Chittaranjan Nayak, Amit Kumar Goyal, Yehia Massoud

Research output: Contribution to journalArticlepeer-review

Abstract

In this article, we investigate the absorption characteristics of a graphene-embedded FP cavity in a terahertz spectral window. The optical attributes were determined by a 4 × 4 transfer matrix procedure. The findings demonstrate that perfect absorption is completely reliant on the structural characteristics of the FP cavity throughout a broad range of terahertz frequencies. From the obtained dataset, numerical formulae are generated for structural parameters (NFD, NBD) using a linear regression machine learning algorithm to achieve higher than 90% absorption. The artificial neural network trained using our dataset provided a coefficient of determination (R2)=1, opening up new pathways to design perfect terahertz absorbers. Furthermore, we explored the influence of magnetic biasing on absorption traits, and our findings show that fine absorption improvement is conceivable. The formulated numerical relations have greater importance in the design of perfect terahertz absorbers.

Original languageEnglish (US)
Pages (from-to)2363-2373
Number of pages11
JournalOSA Continuum
Volume2
Issue number11
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 OSA - The Optical Society. All rights reserved.

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Enhancement of graphene absorption: a numerical formula to design a suitable Fabry-Perot cavity in a terahertz spectral window'. Together they form a unique fingerprint.

Cite this