Design and implementation of optical switches based on nonlinear plasmonic ring resonators: Circular, square and octagon

Ghadrdan, Majid; Mansouri-Birjandi, Mohammad Ali

doi:10.1016/j.photonics.2018.01.003

Cited by 18 publications

(6 citation statements)

References 36 publications

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“…In our AOPS design, we have incorporated a configuration and materials that have consistently exhibited outstanding performance in the context of switching applications. Furthermore, current fabrication technology is fully capable of realizing this design 12 , 68 . This configuration involves a circular RR connected to input and output waveguides with varying widths.…”

Section: Theorymentioning

confidence: 99%

“…A particularly interesting approach for realizing plasmonic switches involves harnessing the optical nonlinear Kerr effect 8 , 9 . optical cavities 10 , 11 and ring resonators 12 are common techniques for implementing such Kerr effect-based plasmonic switches.…”

Section: Introductionmentioning

confidence: 99%

“…In undertaking this work, we have leveraged our prior investigation efforts and experiences related to the design, simulation, and analysis of AOPSs. Specifically, we build upon the proposed nanophotonic structure introduced in our previous study 12 to serve as a testbed for exploring the application of DL techniques to this domain.…”

Section: Introductionmentioning

confidence: 99%

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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: Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…Plasmonic switches are implemented based on cavities, 16 – 18 Mach–Zehnder interferometers, 19 , 20 directional couplers, 21 , 22 and ring resonators 23 – 26 However, to the best of our knowledge, the implementation of a plasmonic switch using the nonlinear Kerr effect and the inherently nonlinear characteristics of the gold has remained unaddressed so far, and hence has been the focus of study in this paper. In this research, we demonstrate an all-optical switch based on the plasmonic cavity.…”

Section: Introductionmentioning

confidence: 99%

Plasmonic switch based on asymmetric cavities with embedding square of gold inside the cavities

2023

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.We proposed an all-optical plasmonic switch based on metal-insulator-metal structures. We used the intrinsic nonlinear properties of gold to implement the switch. The proposed switch consists of a bus waveguide side coupled with a pair of asymmetric vertical cavities. We obtained the transmission spectrum of the structure for low input intensities. The results showed that a sharp dip occurs at the wavelength of 860 nm. Due to the nonlinear properties of gold and the nonlinear Kerr effects, the proposed switch has a high transmission ratio of about 0.8 mW / μm2 and a low threshold power of 0.07 mW / μm2. The threshold power of the structure with and without using the gold nanostructure shows a reduction of 50%. The result showed that the proposed switch has the potential to be applied in the plasmonic integration circuits.

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“…Moreover, active control of optical signals in plasmonic devices by nonlinear materials such as metal nanocomposites [11,12] with a fast time response represents a new field for light control, using light to process optical signals in alloptical integrated circuits [13,14]. In addition, the limitation of structural dimensions has also been eliminated by using nonlinear materials due to a light intensity increment [15,16].…”

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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Design and implementation of optical switches based on nonlinear plasmonic ring resonators: Circular, square and octagon

Cited by 18 publications

References 36 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

Plasmonic switch based on asymmetric cavities with embedding square of gold inside the cavities

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

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