Experimental Characterization of Particle Swarm Optimized Focusing Non-Uniform Grating Coupler for Multiple SOI Thicknesses

Zagaglia, Luca; Floris, Francesco; OaBrien, Peter

doi:10.1109/jlt.2021.3079575

Cited by 4 publications

(3 citation statements)

References 32 publications

(37 reference statements)

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“…The PSO and GA are based on different philosophies: the first relies upon "social" swarm behavior, and the GA relies upon genetic encoding and natural selection [33]. In the literature, the PSO has been widely used to optimize RF antenna array properties and applied in photonics for the design and optimization of several dielectric devices, such as grating couplers [39]. Generally, due to the presence of a complex dielectric function, the simulations of plasmonic systems are computationally demanding.…”

Section: Introductionmentioning

confidence: 99%

“…The intuitive mathematical structure, combined with easy parameter manipulation and a high capacity to control convergence while preventing stagnation issues-common in genetic algorithms (GAs)-has positioned the PSO as a promising tool for optimizing plasmonic systems in recent years, also in combination with other optimization techniques [33,[40][41][42][43]. For this reason, in this work, the optical tuning of a GNA was performed by a customized PSO algorithm implemented in the FDTD method [39,44]. The structure is made of periodically arranged cylindrical holes drilled in a gold layer deposited on a glass substrate.…”

Section: Introductionmentioning

confidence: 99%

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Convergence and Performance Analysis of a Particle Swarm Optimization Algorithm for Optical Tuning of Gold Nanohole Arrays

Angelini,

Zagaglia,

Marabelli

et al. 2024

Materials

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Gold nanohole arrays, hybrid metal/dielectric metasurfaces composed of periodically arranged air holes in a thick gold film, exhibit versatile support for both localized and propagating surface plasmons. Leveraging their capabilities, particularly in surface plasmon resonance-oriented applications, demands precise optical tuning. In this study, a customized particle swarm optimization algorithm, implemented in Ansys Lumerical FDTD, was employed to optically tune gold nanohole arrays treated as bidimensional gratings following the Bragg condition. Both square and triangular array dispositions were considered. Convergence and evolution of the particle swarm optimization algorithm were studied, and a mathematical model was developed to interpret its outcomes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Convergence and Performance Analysis of a Particle Swarm Optimization Algorithm for Optical Tuning of Gold Nanohole Arrays

Angelini,

Zagaglia,

Marabelli

et al. 2024

Materials

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“…In this context, ordered semiconductor nanowire (NW) ensembles grown onto a substrate are a suitable starting platform [15][16][17]. In this paper, we discuss an innovative protocol based on a particle swarm optimization (PSO) algorithm [18,19] to tune the periodicity of an ordered array of GaAs-AlGaAs tapered core-shell NWs where Fabry-Perot oscillations sustained by the external shell give the light trapping effect, yielding the NW array to act as a diffraction grating. The PSO represents a powerful and versatile tool for the optimization of complex photonic structures as its simple and intuitive mathematical structure results in a reasonably fast development, debugging and easy implementation inside the used electromagnetic simulation framework.…”

Section: Introductionmentioning

confidence: 99%

Particle swarm optimization of GaAs-AlGaAS nanowire photonic crystals as two-dimensional diffraction gratings for light trapping

et al. 2022

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Semiconductor nanowire ordered arrays represent a class of bi-dimensional photonic crystals that can be engineered to obtain functional metamaterials. Here is proposed a novel approach, based on a particle swarm optimization algorithm, for using such a photonic crystal concept to design a semiconductor nanowire-based two-dimensional diffraction grating able to guarantee an in-plane coupling for light trapping. The method takes into account the experimental constraints associated to the bottom-up growth of nanowire arrays, by processing as input dataset all relevant geometrical and morphological features of the array, and returns as output the optimised set of parameters according to the desired electromagnetic functionality of the metamaterial. A case of study based on an array of tapered GaAs-AlGaAs core-shell nanowire heterostructures is discussed.

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Modelling Fabrication Variability in Silicon Photonic Devices

Hamdani

Qazi

2023

Photonic Materials: Recent Advances and Emerging Applications

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Silicon photonics allows for high yield and complex integration with large processing, packaging, and testing availability. Using silicon as a material leverages the use of the existing CMOS infrastructure with hybrid and epitaxial layer integration, allowing photonic system-on-chip. Although high refractive index contrast with sub micrometer waveguide dimensions allows a dense integration, sensitivity to fabrication variations shows an increased effect. This sensitivity shows a cumulative effect on the optical properties of complex silicon photonic circuits such as lattice filters, and wavelength division multiplexers (WDM). This increases the demand for model fabrication variation at the design stage itself since the fabless users have no insights into the process specifications. As a result, reliability modelling of photonic circuits has shown significant interest in recent years. This is done by using efficient behavioural models at the circuit level and then applying random variations in the model parameters to assess the impact of these variations. In this chapter, different approaches to modelling fabrication variations in photonic integrated circuits, such as Monte Carlo (MC), Stochastic Collocation (SC), and Polynomial Chaos Expansion (PCE) are reviewed. These methods employ random distribution to the varying parameters with the correlation between different parameter sets fixed. Virtual Wafer-based MC (VW-MC) allows layout-aware variability analysis, where the placement of circuit components on the layout coordinates is exported to the circuit design for dependence analysis. Using these methods, mitigation strategies to counter the manufacturing variations such as thermal compensation, and tapered designs are quantitatively evaluated by appropriate yield analysis and design for manufacturability.

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Experimental Characterization of Particle Swarm Optimized Focusing Non-Uniform Grating Coupler for Multiple SOI Thicknesses

Cited by 4 publications

References 32 publications

Convergence and Performance Analysis of a Particle Swarm Optimization Algorithm for Optical Tuning of Gold Nanohole Arrays

Convergence and Performance Analysis of a Particle Swarm Optimization Algorithm for Optical Tuning of Gold Nanohole Arrays

Particle swarm optimization of GaAs-AlGaAS nanowire photonic crystals as two-dimensional diffraction gratings for light trapping

Modelling Fabrication Variability in Silicon Photonic Devices

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