The switching of optoelectronics to full optical computing operations based on nonlinear metamaterials

Rashed, Ahmed Nabih Zaki; Mohammed, Abd El–Naser A.; Zaky, Walid Fawzy; Amiri, I. S.; Yupapin, P.

doi:10.1016/j.rinp.2019.02.088

Cited by 102 publications

(22 citation statements)

References 9 publications

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“…where the transverse magnetic mode via a slab optical waveguide analysis [1,2,16,[18][19][20][21][22]:…”

Section: Model Description and Research Methodsmentioning

confidence: 99%

“…where the basic constants C1, C2, and R is the bending radius of the slab waveguide are calculated by [1,2,4,19 Where β is the propagation constant, neffc is the effective cladding refractive index, and kxs is the decay or delay coefficient, and where the coupling coefficient for the different modes in the optical slab waveguide can be estimated by [2,7,9,20,21…”

Section: Model Description and Research Methodsmentioning

confidence: 99%

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An analytical method with numerical results to be used in the design of optical slab waveguides for optical communication system applications

Alatwi

Rashed

2021

IJEECS

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<p>This study develops an analytical method with numerical results for the design of optical slab waveguides for optical communication system applications. An optical slab waveguide structure made of silicon on silicon dioxide material is designed and analyzed. The effective index of the mode is studied against variations in the waveguide dimensions. Transmission and reflection coefficients are studied and compared to the wavelength and dimensions of the waveguide. Variations are sketched with the x-axis, in addition to the electric field intensity distribution and effective refractive index. Waveguide bending loss is also studied with waveguide thickness and length variations within three waveguide transmission windows of 850 nm, 1300 nm, and 1550 nm.</p>

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“…where the transverse magnetic mode via a slab optical waveguide analysis [1,2,16,[18][19][20][21][22]:…”

Section: Model Description and Research Methodsmentioning

confidence: 99%

Section: Model Description and Research Methodsmentioning

confidence: 99%

An analytical method with numerical results to be used in the design of optical slab waveguides for optical communication system applications

Alatwi

Rashed

2021

IJEECS

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“…Where the materials-based acoustic optic modulators can be expressed as the refractive index [6,14,17,35]:…”

Section: Acoustic Optic Modulatorsmentioning

confidence: 99%

“…To describe this acousto-optic effect in crystals, a plane wave analysis can be used to determine the frequency and angular characteristics of the acousto-optic interaction [28][29][30][31]. In this approach, the acoustic wave is approximated as a single plane wave typically propagating to the transducer [17,18,[32][33][34][35]. The frequency or angular dependence is obtained from the phase mismatch caused by the change of acoustic frequency or incident optical wave direction [36][37][38][39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

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Silicon-Germanium Dioxide and Aluminum Indium Gallium Arsenide-Based Acoustic Optic Modulators

2020

Self Cite

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AbstractThe purpose of this study was to clarify the silicon-germanium dioxide (SiGeO2) and Aluminum Indium Gallium Arsenide (AlInGaAs) based acoustic optic modulators for upgrading transmission performance characteristics. The transient time response of these modulators is analyzed and discussed in detail. The 3-dB modulation signal bandwidth, diffraction signal efficiency, signal rise time, and signal quality factor with minimum data error rates are also considered. The proposed models with silicon-germanium dioxide and Aluminum Indium Gallium Arsenide acoustic optic modulators were compared to the previous model with silicon acoustic optic modulators. The results confirmed the high-performance efficiency of the proposed models when compared to the previous model, in both the lowest transient time response and the highest acoustic optic modulators speed response.

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Amplitude‐Controlled Electromagnetic Pulse Switching Using Waveguide Junctions for High‐Speed Computing Processes

MacDonald

Yakovlev

Pacheco‐Peña

2022

Advanced Intelligent Systems

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In his 1965 paper, [1] Gordon Moore described the relationship between the density of transistors on a silicon chip and the operational speed of that chip. In this seminal work, which is now known as Moore's law, he envisioned that the density of these devices would double every 18 months. In the years since its publication, this prediction has been found to be remarkably accurate. [2] This rapid advancement has been possible by the tremendous scalability of semiconductor devices such as metal-oxide-semiconductor field-effect transistors (MOS-FETs). [3,4] However, Moore recognized that this fast rate of advancement would someday become difficult to continue as there are limits to how small transistor-based devices can be made, [5,6] limits that many academics believe we are now reaching. [7,8] The ability to control the flow of energy via switching techniques can be considered as a fundamental process by which computation takes place. For instance, in classical computing devices, the flow of current is controlled by such semiconductor-based devices (transistors) working as switching elements. However, intrinsic parasitic capacitances are difficult to avoid in such devices. These unwanted reactive elements are charged and discharged during the dynamic switching process performed by transistors, adding further delays to the overall computations which restrict the speed and efficiency of the devices. [9] To overcome this, new paradigms on computing are needed. Different scenarios have been recently proposed such as spintronics, [10] biological computing, [11] computing with electromagnetic (EM) waves, [12,13] and optical solitons, [14][15][16][17][18] among others. EM wave-based computing has become a hot research topic worldwide as the information can be transferred at the speed of light in the medium where the wave propagates. In this context, such fully EM wave-based computing systems that do not require charging/discharging processes have the potential to open new avenues for future high-speed computing. [6] In this realm, metamaterials (MTMs) and metasurfaces (MTSs), as their 2D version, have been recently applied to the field of computing using EM waves. [19][20][21] MTMs are artificial materials that exhibit EM responses not always easy to find in natural media such as negative or near-zero permittivity values. [22][23][24] MTMs have successfully been applied in multiple scenarios such as sensing, [25,26] antennas, [27,28] and imaging, [29,30] demonstrating their ability to arbitrarily control fields

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The switching of optoelectronics to full optical computing operations based on nonlinear metamaterials

Cited by 102 publications

References 9 publications

An analytical method with numerical results to be used in the design of optical slab waveguides for optical communication system applications

An analytical method with numerical results to be used in the design of optical slab waveguides for optical communication system applications

Silicon-Germanium Dioxide and Aluminum Indium Gallium Arsenide-Based Acoustic Optic Modulators

Amplitude‐Controlled Electromagnetic Pulse Switching Using Waveguide Junctions for High‐Speed Computing Processes

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