Design and Modeling of a Photonic Crystal Multiplexer Using Artificial Intelligence
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Abstract
In this paper, design and modeling of an all-optical 2×1 multiplexer based on 2D photonic crystals and artificial neural networks (ANNs) are presented. The proposed structure aims to maximize the difference between the output powers in logical states, which is critical for enhancing the system ability to distinguish between these states. In this study, an ANN model is employed to accurately predict the normalized output power of the designed photonic crystal multiplexer, providing a time-efficient alternative to conventional simulation methods for analyzing multiplexer behavior across various logical states. The results demonstrate significant improvements in signal separation and overall performance compared to previous works. Additionally, a detailed comparison of the normalized output power for different logic states is provided, highlighting the advantages of the proposed design.
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References
R. Soref, "The past, present, and future of silicon photonics," IEEE Journal of selected topics in quantum electronics, vol. 12, no. 6, pp. 1678-1687, 2006.
P. Karami et al., "Design of a compact all-optical digital-to-analog converter based on photonic crystals using neural networks," Results in Optics, p. 100802, 2025.
B. E. Saleh and M. C. Teich, Fundamentals of photonics. john Wiley & sons, 2019.
P. Karami et al., "Design of an optical half-adder based on two-dimensional photonic crystals using feedforward neural networks," Applied Optics, vol. 64, no. 4, pp. 973-983, 2025.
Q. Xu, B. Schmidt, S. Pradhan, and M. Lipson, "Micrometre-scale silicon electro-optic modulator," nature, vol. 435, no. 7040, pp. 325-327, 2005.
A. A. Mohammed and G. A. QasMarrogy, "Thermal Dynamics in Optical Networks," ARO-The Scientific Journal of Koya University, vol. 12, no. 2, pp. 1-9, 2024.
J. D. Joannopoulos, P. R. Villeneuve, and S. Fan, "Photonic crystals: putting a new twist on light," Nature, vol. 386, no. 6621, pp. 143-149, 1997.
K. N. Sediq, F. F. Muhammadsharif, S. O. Ramadan, and S. Z. Sedeeq, "Design and study of a nanocavity-based one-dimensional photonic crystal for potential applications in refractive index sensing," ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, vol. 11, no. 2, pp. 95-98, 2023.
M. Notomi, "Theory of light propagation in strongly modulated photonic crystals: Refractionlike behavior in the vicinity of the photonic band gap," Physical Review B, vol. 62, no. 16, p. 10696, 2000.
E. Yablonovitch, "Inhibited spontaneous emission in solid-state physics and electronics," Physical review letters, vol. 58, no. 20, p. 2059, 1987.
F. Parandin and N. Bagheri, "Design of a 2× 1 multiplexer with a ring resonator based on 2D photonic crystals," Results in Optics, vol. 11, p. 100375, 2023.
D. G. S. Rao, S. Swarnakar, and S. Kumar, "Design of photonic crystal based compact all-optical 2× 1 multiplexer for optical processing devices," Microelectronics Journal, vol. 112, p. 105046, 2021.
V. R. Balaji, M. Murugan, S. Robinson, and R. Nakkeeran, "Design and optimization of photonic crystal based eight channel dense wavelength division multiplexing demultiplexer using conjugate radiant neural network," Optical and Quantum Electronics, vol. 49, pp. 1-15, 2017.
D. G. Rabus, "Integrated ring resonators," 2007.
J. K. Poon, J. Scheuer, Y. Xu, and A. Yariv, "Designing coupled-resonator optical waveguide delay lines," JOSA B, vol. 21, no. 9, pp. 1665-1673, 2004.
A. Yariv, P. Yeh, and A. Yariv, Photonics: optical electronics in modern communications. Oxford university press New York, 2007.
S. Roshani et al., "Mutual coupling reduction in antenna arrays using artificial intelligence approach and inverse neural network surrogates," Sensors, vol. 23, no. 16, p. 7089, 2023.
P. Karami et al., "Design of a Photonic Crystal Exclusive-OR Gate Using Recurrent Neural Networks," Symmetry, vol. 16, no. 7, p. 820, 2024.
S. Roshani et al., "Design of a Microwave Quadrature Hybrid Coupler with Harmonic Suppression Using Artificial Neural Networks," Active and Passive Electronic Components, vol. 2024, no. 1, p. 8722642, 2024.
F. Parandin, P. Karami, and A. Mohamadi, "Machine learning-driven optimization of photonic crystal structures for superior optical NOR gate performance," Applied Optics, vol. 63, no. 25, pp. 6666-6673, 2024.
M. M. Mano, Digital logic and computer design. Pearson Education India, 2017.
F. Parandin and A. Sheykhian, "Design and simulation of a 2× 1 All-Optical multiplexer based on photonic crystals," Optics & Laser Technology, vol. 151, p. 108021, 2022.