Low-cross-talk and high-contrast all optical bistable switching based on coupled defects in a nonlinear photonic crystal cross-waveguide geometry

X, Cai; Xu, Qijiao; Wang, Shaowu; Li, Shaohui

doi:10.1016/j.photonics.2014.11.001

Cited by 8 publications

(3 citation statements)

References 30 publications

(32 reference statements)

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“…The rationale behind selecting the third window stems from its minimal optical attenuation compared to shorter wavelengths 9 . Furthermore, the decision to employ a high contrast ratio is rooted in its advantageous implications for real-world implementations of switching devices, where it fortifies the immunity against noise and detection errors, thus engendering enhanced operational robustness 88 . Following the determination of the optimal geometric parameters via DL, FDTD electromagnetic simulations were performed to minimize errors introduced by the DL approach and obtain accurate transmission spectra of the structure.…”

Section: Resultsmentioning

confidence: 99%

A deep learning method for empirical spectral prediction and inverse design of all-optical nonlinear plasmonic ring resonator switches

Adibnia,

Mansouri-Birjandi,

Ghadrdan

et al. 2024

Sci Rep

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All-optical plasmonic switches (AOPSs) utilizing surface plasmon polaritons are well-suited for integration into photonic integrated circuits (PICs) and play a crucial role in advancing all-optical signal processing. The current AOPS design methods still rely on trial-and-error or empirical approaches. In contrast, recent deep learning (DL) advances have proven highly effective as computational tools, offering an alternative means to accelerate nanophotonics simulations. This paper proposes an innovative approach utilizing DL for spectrum prediction and inverse design of AOPS. The switches employ circular nonlinear plasmonic ring resonators (NPRRs) composed of interconnected metal–insulator–metal waveguides with a ring resonator. The NPRR switching performance is shown using the nonlinear Kerr effect. The forward model presented in this study demonstrates superior computational efficiency when compared to the finite-difference time-domain method. The model analyzes various structural parameters to predict transmission spectra with a distinctive dip. Inverse modeling enables the prediction of design parameters for desired transmission spectra. This model provides a rapid estimation of design parameters, offering a clear advantage over time-intensive conventional optimization approaches. The loss of prediction for both the forward and inverse models, when compared to simulations, is exceedingly low and on the order of 10−4. The results confirm the suitability of employing DL for forward and inverse design of AOPSs in PICs.

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Section: Resultsmentioning

confidence: 99%

A deep learning method for empirical spectral prediction and inverse design of all-optical nonlinear plasmonic ring resonator switches

Adibnia,

Mansouri-Birjandi,

Ghadrdan

et al. 2024

Sci Rep

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“…Normally, the transmission properties of the defect mode can be easily modified by appropriately altering the optical thickness of Bragg reflectors. It has been shown that the increased number of periods in Bragg reflectors enables a significant improvement in the Q-factor and light confinement effect of the defect mode, yielding an enhancement of nonlinear optical properties [14][15][16]. However, by doing this, the structure volume is bound to increase; meanwhile, the transmission coefficient will inevitably decline to a certain extent.…”

Section: Introductionmentioning

confidence: 99%

Bistable Switch Based on Tunable Fano Resonance in Coupled Resonator-Cavity Structure

et al. 2023

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We report a side-coupled resonator-cavity configuration with a tunable Fano-type interference effect for a novel subwavelength switch. A defective microstrip photonic crystal (PC) structure is designed to provide a continuum state, while a split ring resonator (SRR) is introduced to offer a narrow discrete resonance. The SRR is conductively side-coupled with the microstrip PC cavity in a subwavelength volume. Interactions between them result in Fano-type transmitting spectra with a sharp and asymmetric spectral line profile. A varactor diode serving as the nonlinear medium inclusion is integrated into the slit of the SRR for active control of the sharp Fano resonance. The strongly localized field produced by Fano resonance plays a role in improving the nonlinear properties of the microstrip PC cavity. It is found that a significant blue shift of 94 MHz on the Fano resonance frequency can be achieved by increasing the input power levels from −25 dBm to 8 dBm. We also found that the maximum transmission contrast exceeding 15.9 dB can take place between two bistable states existing at 3.05 dBm and 4.32 dBm for a bidirectional sweep of input power under a monochromatic signal frequency of 1.27 GHz. The findings may benefit the exploitation of metamaterials-assisted active photonic nanocircuits.

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“…Plasmonic devices have attracted a great deal of attention because of their unique characteristics in controlling light in the deep-sub-wavelength scale, and overcoming the limitations of diffraction [1][2][3]. In recent years, many plasmonic devices such as splitters [4], switches [5,6], modulators [7], couplers [8], logic gates [9], sensors have been studied and investigated by researchers both theoretically and numerically.…”

Section: Introductionmentioning

confidence: 99%

Investigation and analysis of a tunable plasmonic filter based on the Kerr nonlinear effect of a gold nanocomposite

2020

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In this study, an all-optical plasmonic filter is introduced based on metal-insulator-metal waveguides coupled with a square nanocavity filled with a nonlinear Kerr material. This structure is numerically investigated using the finite element method. The structure is then analyzed under linear and nonlinear regimes. The nonlinear material inside the square nanocavity includes gold nanocomposite, and its effective parameters are measured using the Maxwell-Garnett theory. The simulation results show that the resonance peak of the filter structure can be adjusted by changing the physical properties of the gold nanoparticles. Furthermore, we can tune the resonant wavelength within the transmission spectrum by considering the Kerr effect of the gold nanocomposite, and by adjusting the incident light signal without changing the dimensions and physical characteristics of the proposed filter structure. Due to the compact size and the simplicity of fabrication, the proposed plasmonic nanofilter is an ideal option for designing the integrated optical circuits.

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Low-cross-talk and high-contrast all optical bistable switching based on coupled defects in a nonlinear photonic crystal cross-waveguide geometry

Cited by 8 publications

References 30 publications

A deep learning method for empirical spectral prediction and inverse design of all-optical nonlinear plasmonic ring resonator switches

A deep learning method for empirical spectral prediction and inverse design of all-optical nonlinear plasmonic ring resonator switches

Bistable Switch Based on Tunable Fano Resonance in Coupled Resonator-Cavity Structure

Investigation and analysis of a tunable plasmonic filter based on the Kerr nonlinear effect of a gold nanocomposite

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