Enhanced control of the Goos–Hänchen shift at graphene-hyperbolic boron nitride multilayer hyper crystal

In this study, we investigate analytically and numerically the Goos–Hänchen Shift (GHS) for reflected and transmitted plane waves in a planar uniaxial anisotropic hexagonal boron nitride (hBN) slab placed in air. An arbitrarily polarized plane wave serves as the excitation source. The Transfer Matrix Method is employed to compute Fresnel coefficients for s- and p-polarization, while the Stationary Phase Method is used to analyze the resulting GHS. For both polarizations, the reflected GHS appears at the left and right boundaries of two well-known reststrahlen bands (RBs) in the far-infrared (FIR) frequency range. Additionally, it is observed within RB1 < f < RB2, whereas the transmitted GHS is only present at the right and left boundaries of RB1 and RB2, respectively. Our primary objective is to extend GHS control across a broader frequency range, from FIR to the near-infrared, beyond the conventional RB-limited regime. To achieve this, we integrate a finite number of graphene sheets—modeled as a uniaxial anisotropic finite-thickness medium—with the hBN slab, forming a graphene-hBN multilayer hyper-crystal. We analyze how graphene key parameters, including chemical potential, temperature, and sheet count, influence the GHS. Additionally, the effect of hBN thickness on the reflected GHS spectra is examined across varying incident angles for both polarizations, with and without graphene integration. Our findings offer valuable insights for GHS-based optical devices operating across extended frequency ranges, as well as applications in temperature sensing and hyper-lensing. • Goos–Hänchen shift (GHS) for reflected/transmitted plane waves obtained by solving Maxwell’s equations for a uniaxial anisotropic hexagonal-boron-nitride (hBN) slab of finite thickness reveals an efficient control at the left/right boundaries, as well as inside and outside of both reststrahlen bands (RBs). • To achieve GHS across a broader frequency range, from far-infrared to near-infrared, a finite number of graphene sheets, modeled as a finite-thickness medium, is integrated with the hBN slab. • To compute GHS for both s- and p-polarizations, graphene is treated as a uniaxial anisotropic medium. • The GHS is strongly controlled and enhanced by tuning graphene’s parameters, including chemical potential, temperature, number of layers, and the thickness of the hBN slab.

Authors

Publication Details

Journal
Optics & Laser Technology
Published
2025-06-16
DOI
https://doi.org/10.1016/j.optlastec.2025.113390
Citations
5
Primary Topic
Quantum optics and atomic interactions
Type
article
Field-Weighted Citation Impact
6.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced control of the Goos–Hänchen shift at graphene-hyperbolic boron nitride multilayer hyper crystal

Giulio Antonini, Kishwar Ali, Fabrizio Frezza, Francesco Ferranti
5 citations
Optics & Laser Technology
Quantum optics and atomic interactions
6.23
article

Enhanced control of the Goos–Hänchen shift at graphene-hyperbolic boron nitride multilayer hyper crystal

Giulio Antonini, Kishwar Ali, Fabrizio Frezza, Francesco Ferranti
article en
5 citations

Abstract

In this study, we investigate analytically and numerically the Goos–Hänchen Shift (GHS) for reflected and transmitted plane waves in a planar uniaxial anisotropic hexagonal boron nitride (hBN) slab placed in air. An arbitrarily polarized plane wave serves as the excitation source. The Transfer Matrix Method is employed to compute Fresnel coefficients for s- and p-polarization, while the Stationary Phase Method is used to analyze the resulting GHS. For both polarizations, the reflected GHS appears at the left and right boundaries of two well-known reststrahlen bands (RBs) in the far-infrared (FIR) frequency range. Additionally, it is observed within RB1 < f < RB2, whereas the transmitted GHS is only present at the right and left boundaries of RB1 and RB2, respectively. Our primary objective is to extend GHS control across a broader frequency range, from FIR to the near-infrared, beyond the conventional RB-limited regime. To achieve this, we integrate a finite number of graphene sheets—modeled as a uniaxial anisotropic finite-thickness medium—with the hBN slab, forming a graphene-hBN multilayer hyper-crystal. We analyze how graphene key parameters, including chemical potential, temperature, and sheet count, influence the GHS. Additionally, the effect of hBN thickness on the reflected GHS spectra is examined across varying incident angles for both polarizations, with and without graphene integration. Our findings offer valuable insights for GHS-based optical devices operating across extended frequency ranges, as well as applications in temperature sensing and hyper-lensing. • Goos–Hänchen shift (GHS) for reflected/transmitted plane waves obtained by solving Maxwell’s equations for a uniaxial anisotropic hexagonal-boron-nitride (hBN) slab of finite thickness reveals an efficient control at the left/right boundaries, as well as inside and outside of both reststrahlen bands (RBs). • To achieve GHS across a broader frequency range, from far-infrared to near-infrared, a finite number of graphene sheets, modeled as a finite-thickness medium, is integrated with the hBN slab. • To compute GHS for both s- and p-polarizations, graphene is treated as a uniaxial anisotropic medium. • The GHS is strongly controlled and enhanced by tuning graphene’s parameters, including chemical potential, temperature, number of layers, and the thickness of the hBN slab.

Optics & Laser TechnologyVol. 191
Openalex Percentile: Top 4%
Quantum optics and atomic interactions
6.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.