Power Breakdown Threshold of a Plasmonic Waveguide Filter

Calva, P.A.; Medina, I.

doi:10.1007/s11468-013-9664-1

Cited by 6 publications

(6 citation statements)

References 10 publications

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“…Use of these emerging materials, in conjunction with light-matter interactions and the ensuing electronic, photonic, and phononic excitations (e.g., surface modes, plasmons, polaritons, etc.) [144,145,318,325], is paving the way for the development of compact, addressable, switchable, and optical components and systems [40,41,204,212,326]. An example is the integrated microwave photonics [327], where ultra-small high-bandwidth components, such as electro-optic modulators, frequency synthesizers, and chip signal processors, have been developed.…”

Section: Nanosystems and Nanoscience: From Edge Sensing To Edge Comentioning

confidence: 99%

Nanosystems, Edge Computing, and the Next Generation Computing Systems

Passian

Imam

2019

Sensors

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It is widely recognized that nanoscience and nanotechnology and their subfields, such as nanophotonics, nanoelectronics, and nanomechanics, have had a tremendous impact on recent advances in sensing, imaging, and communication, with notable developments, including novel transistors and processor architectures. For example, in addition to being supremely fast, optical and photonic components and devices are capable of operating across multiple orders of magnitude length, power, and spectral scales, encompassing the range from macroscopic device sizes and kW energies to atomic domains and single-photon energies. The extreme versatility of the associated electromagnetic phenomena and applications, both classical and quantum, are therefore highly appealing to the rapidly evolving computing and communication realms, where innovations in both hardware and software are necessary to meet the growing speed and memory requirements. Development of all-optical components, photonic chips, interconnects, and processors will bring the speed of light, photon coherence properties, field confinement and enhancement, information-carrying capacity, and the broad spectrum of light into the high-performance computing, the internet of things, and industries related to cloud, fog, and recently edge computing. Conversely, owing to their extraordinary properties, 0D, 1D, and 2D materials are being explored as a physical basis for the next generation of logic components and processors. Carbon nanotubes, for example, have been recently used to create a new processor beyond proof of principle. These developments, in conjunction with neuromorphic and quantum computing, are envisioned to maintain the growth of computing power beyond the projected plateau for silicon technology. We survey the qualitative figures of merit of technologies of current interest for the next generation computing with an emphasis on edge computing.

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Section: Nanosystems and Nanoscience: From Edge Sensing To Edge Comentioning

confidence: 99%

Nanosystems, Edge Computing, and the Next Generation Computing Systems

Passian

Imam

2019

Sensors

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“…As shown previously, the experimental results differ considerably from the analytical when the characteristic diffusion length is considered. It has been proved by some authors [2,9,12,14] that the criteria used until now for the design of waveguide filters can be improved if the effective diffusion length is used instead of the characteristic diffusion length. Table 1.…”

Section: Space Charge Density Effectsmentioning

confidence: 99%

“…Nevertheless, DGPs are components that demand energy from the system to operate and generate interruptions in the transmission due to electronic processing. Other components can be responsible for the filtering of signals; as seen by Calva et al [2], a plasmonic waveguide filter is a viable option.…”

Section: Plasmonic Waveguide Filters For Increased Data Rate Transmismentioning

confidence: 99%

“…A wide range of wavelengths can be covered by using these filters, from 500 to 10,000 nm. However, some optimal configurations have been suggested; for distances of L=280, 320, 350, 360, and 390 nm, the transmitted resultant wavelengths are λ=575, 850, 1060, 1310, and 1550 nm, respectively [2]. As mentioned before, it is imperative to consider the field skin deep so that light can travel through the metal of these waveguide structures; d 1 and d 2 distances must be smaller than 30 nm in the case of silver [21].…”

Section: Plasmonic Waveguide Filters For Increased Data Rate Transmismentioning

confidence: 99%

“…Traffic capacity in a high-frequency scenario where waveguides are involved is generally limited by two main factors: bandwidth and input power [1]. In cases where the atmospheric pressure is a factor, such as satellite communications, the maximum input power of the signal is determined by several factors, among which are the geometry of the device, the collision frequency of the molecules and free electrons and the intrinsic characteristics of the propagating medium itself, that is, air or nitrogen [2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mathematical Analysis of Electrical Breakdown Effects in Waveguides

Medina¹,

Calva²

2018

Emerging Waveguide Technology

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The designers of microwave devices in the industry use the analytical solutions of the corona discharge equation to determine the minimum power breakdown threshold, in a particular device, such as waveguides and filters, and know whether it is in the established margins. There are two main ways to determine the breakdown threshold of a waveguide analytically; the most commonly used describes the plasma density generation completely as a function of the geometry by using the characteristic diffusion length, while the second is a more thorough method that involves the use of the effective diffusion length which considers collision frequency and electric field into the equations. Hence the aim of the designers is to obtain the closest results to experimental results, both methods must be considered in addition to the environmental changes so that they know the operational limits. This chapter describes the different methods to obtain analytical results for the breakdown threshold in any rectangular waveguide device, the influence of environmental conditions in the analysis and the inhomogeneous electric field effect inside the devices.

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A MIM Filter Based on a Side-Coupled Crossbeam Square-Ring Resonator

Wang

et al. 2016

Plasmonics

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Power Breakdown Threshold of a Plasmonic Waveguide Filter

Cited by 6 publications

References 10 publications

Nanosystems, Edge Computing, and the Next Generation Computing Systems

Nanosystems, Edge Computing, and the Next Generation Computing Systems

Mathematical Analysis of Electrical Breakdown Effects in Waveguides

A MIM Filter Based on a Side-Coupled Crossbeam Square-Ring Resonator

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