Prediction of Fiber Bragg Gratings Characteristics from Its Design Parameters Using Deep Learning

Adibnia, Ehsan; Ghadrdan, Majid; Mansouri-Birjandi, Mohammad Ali

doi:10.61186/ijop.17.2.165

IJOP

2023

DOI: 10.61186/ijop.17.2.165

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Prediction of Fiber Bragg Gratings Characteristics from Its Design Parameters Using Deep Learning

Ehsan Adibnia,

Majid Ghadrdan,

Mohammad Ali Mansouri-Birjandi

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2024

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High-speed all-optical symmetric 4 × 2 encoder using interface effects in two-dimensional photonic crystals

Shahi,

Sepahvandi,

Saghaei

et al. 2024

Appl. Opt.

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This paper focuses on designing and simulating a 4×2 all-optical encoder utilizing the wave interference effect within photonic crystals. The proposed structure includes four optical waveguides as inputs and two as outputs, with a total area of 133.9µm2. The encoder demonstrates a response time of 0.44 ps, a contrast ratio of approximately 13.3 dB, and a data transfer rate of 2.3 Tbit/s. The results highlight the structure’s high flexibility, efficient resolution, and competitive response time compared to other designs in this category, demonstrating its practical applicability, particularly for signal division tasks. The finite-difference time-domain technique and the plane wave expansion method were employed to analyze the simulation outcomes and determine the optical bandgap range essential for the design.

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High-speed all-optical symmetric 4 × 2 encoder using interface effects in two-dimensional photonic crystals

Shahi,

Sepahvandi,

Saghaei

et al. 2024

Appl. Opt.

View full text Add to dashboard Cite

show abstract

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Prediction of Fiber Bragg Gratings Characteristics from Its Design Parameters Using Deep Learning

Cited by 1 publication

References 21 publications

High-speed all-optical symmetric 4 × 2 encoder using interface effects in two-dimensional photonic crystals

High-speed all-optical symmetric 4 × 2 encoder using interface effects in two-dimensional photonic crystals

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