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Design and Optimization of a Rose-Inspired Plasmonic Filter using Machine Learning | ||
| Journal of Modeling and Simulation in Electrical and Electronics Engineering | ||
| دوره 6، شماره 1 - شماره پیاپی 23، خرداد 2026، صفحه 43-51 اصل مقاله (991.21 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22075/mseee.2025.39313.1231 | ||
| نویسندگان | ||
| Seyed Mohammad Mehdi Hosseini؛ Pejman Rezaei* ؛ Shiva Khani | ||
| Electrical and Computer Engineering Faculty, Semnan University, Semnan, Iran. | ||
| تاریخ دریافت: 18 مهر 1404، تاریخ بازنگری: 29 آذر 1404، تاریخ پذیرش: 07 دی 1404 | ||
| چکیده | ||
| Bio-inspired plasmonic structures offer a powerful route toward compact and high-performance photonic components by ena-bling strong confinement of surface plasmon polaritons (SPPs) at deeply subwavelength scales. In this research, a tunable mul-tichannel bandpass filter using surface plasmon polaritons (SPPs) is introduced and numerically studied on a metal-insulator-metal (MIM) waveguide substrate. Consisting of a central circular resonator, two larger main waveguides, and six smaller sat-ellite resonators, the proposed structure exploits a unique rose-like geometry. High Q-factor (Q-factor) multiple resonance modes can be achieved due to this blend. Nevertheless, time-consuming numerical methods such as the Finite-Difference Time-Domain (FDTD) approach are employed in the conventional design and optimization of such intricate structures. Re-cently, a machine learning framework was utilized to considerably accelerate the design procedure. Through training on a vast dataset from FDTD runs, a Random Forest surrogate model was developed and trained to predict the filter spectral response from its geometrical parameters with very high accuracy. FDTD simulation results reveal that the proposed rose-like structure produces several sharp transmission peaks of high Q-factor, up to 127.2. Moreover, the machine learning system possesses a high coefficient of determination (R² up to 0.986) and excellent predictive ability and can replicate the transmission spectrum within a fraction of the time it takes for conventional runs. Through its powerful volume-based optimization tool and inverse design tool, the proposed mixed-method approach brings within grasp possible future applications of photonic integrated circuits (PICs), high-sensitivity biosensors, and wavelength-division multiplexing (WDM) systems. | ||
| کلیدواژهها | ||
| Plasmonic Filter؛ MIM Waveguide (Metal-Insulator-Metal)؛ Circular Resonator؛ Machine Learning؛ Quality Factor | ||
| مراجع | ||
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[1] S. Khani, P. Rezaei, and M. Rahmanimanesh, "Machine learning analysis of a Fano resonance-based plasmonic refractive index sensor using U-shaped resonators," Scientific Reports, vol. 15, p. 23857, 2025.
[2] S. Khani, M. Danaie, and P. Rezaei, "Design of a Single-Mode Plasmonic Bandpass Filter Using a Hexagonal Resonator Coupled to Graded-Stub Waveguides," Plasmonics, vol. 13, pp. 2177–2186, 2018.
[3] M. Aftab, M. S. Mansha, T. Iqbal, and M. Farooq, "Surface Plasmon Excitation: Theory, Configurations, and Applications," Plasmonics, vol. 19, pp. 1701–1719, 2024.
[4] S. A. Maier, "Plasmonics: Metal Nanostructures for Subwavelength Photonic Devices," IEEE Journal of Selected Topics in Quantum Electronics, vol. 12, no. 6, pp. 1214-1220, Nov. 2006.
[5] R. F. Oulton, G. Bartal, D. F. P. Pile, and X. Zhang, "Confinement and propagation characteristics of subwavelength plasmonic modes," New Journal of Physics, vol. 10, p. 105018, Oct. 2008.
[6] M. H. Fuad, M. F. Nayan, and R. R. Mahmud, "Advances in Surface Plasmon Resonance-Based PCF and MIM Sensors," Plasmonics, 2025.
[7] S Khani, M Hayati, Optical sensing in single-mode filters based on surface plasmon H-shaped cavities, Optics Communications, 2022, 505, 127534.rezaei
[8] M. Z. U. Rahman, T. C. E. Cheng, M. T. Islam, and N. Misran, "Ultra-Wide-Band Band-Pass Filters Using Plasmonic MIM Waveguide-Based Ring Resonators," IEEE Photonics Technology Letters, vol. 30, no. 19, pp. 1715-1718, Oct. 2018.
[9] S. Kumar, et al., "Nanophotonic Ring Resonator Based on Slotted Hybrid Plasmonic Waveguide for Biochemical Sensing," IEEE Sensors Journal, vol. 23, no. 6, pp. 5695-5702, Mar. 2023.
[10] F. Liu, Y. Cui, S. Yan, and B. Huang, "A MIM Waveguide Refractive-Index Construction According to SPPs and Fano Resonance," in Proc. 5th Int. Conf. Intell. Control, Meas. Signal Process. (ICMSP), 2023, pp. 1011-1014.
[11] A. V. Maslov and M. Miyawaki, "Confinement factors and optical gain in subwavelength plasmonic resonators," Journal of Applied Physics, vol. 108, no. 8, p. 083105, Oct. 2010.
[12] S.A. Khatami, P. Rezaei, “Coupled mode theory analysis of the graphene-based multi-band superabsorber for selective sensing application,” Diamond and Related Materials, vol. 158, 112690, 2025.
[13] A. L. Musgrove, et al., "Bio-inspired photonic and plasmonic systems for gas sensing: applications, fabrication, and analytical methods," Journal of Optical Microsystems, vol. 4, no. 2, p. 020902, 2024.
[14] Z. Jakšić, M. Obradov, and O. Jakšić, "Bio-Inspired Nanomembranes as Building Blocks for Nanophotonics, Plasmonics and Metamaterials," Biomimetics, vol. 7, no. 4, p. 222, Dec. 2022.
[15] A.H. Asl, M. Khajenoori, Green extraction in separation technology, CRC Press, 2021.
[16] S. Chugh, S. Ghosh, A. Gulistan, and B. M. A. Rahman, "Machine Learning Regression Approach to the Nanophotonic Waveguide Analyses," Journal of Lightwave Technology, vol. 37, no. 24, pp. 6080-6089, Dec. 2019.
[17] Z. Jakšić, S. Devi, O. Jakšić, and K. Guha, "A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics," Biomimetics, vol. 8, no. 3, p. 278, Jun. 2023.
[18] S.A. Khatami, P. Rezaei, P. Zamzam, S. Hadipour, S. Khani, “Smith chart analysis for transmission line method validation of a simple graphene-based absorber in sugar molecules detection,” Results in Physics, vol. 77, pp. 108464, October 2025.
[19] P. Cheng, et al., "Bio-inspired self-assembly of large area 3D Ag@SiO2 plasmonic nanostructures with tunable broadband light harvesting," Applied Materials Today, vol. 25, p. 101238, 2021.
[20] M. K. Akbari, et al., "Bioinspired patterned photonic junctions for plasmon-enhanced metal photoluminescence and fluorescence: design of optical cavities for near-infrared electronics," Materials Today Energy, vol. 26, p. 101003, 2022.
[21] S. Khani, M. Danaie, P. Rezaei, “Tunable single-mode bandpass filter based on metal-insulator-metal plasmonic coupled U-shaped cavities,” IET Optoelectronics, vol. 13, no. 4, pp. 161-171, 2019.
[22] H. Geng et al., "Symmetry Breaking Induced Multiple Fano Resonances for Plasmonic Nanosensing," Plasmonics, 2025, doi: 10.1007/s11468-024-02318-y.
[23] S. Javid, F. Tavakkol Hamedani, P. Rezaei, S. Khani, “Designing scalable single-mode to seven-mode plasmonic filters utilizing disk and ring-shaped resonators,” Results in Optics, vol. 21, 100919, 2025.
[24] R. Jaswal, et al., "Plasmonic nanoparticle-integrated nanofibers: advancements in nanobiotechnology for biomedical applications," Journal of Pharmaceutical Investigation, 2025.
[25] J. Zhou, Z. Wu, C. Jin, and J. X. J. Zhang, "Machine learning assisted dual-functional nanophotonic sensor for organic pollutant detection and degradation in water," npj Clean Water, vol. 7, no. 1, p. 3, 2024.
[26] Y. Sharma, B. Joshi, and R. Zafar, "Split Ring Resonators-Based Plasmonics Sensor with Dual Fano Resonances," IEEE Sensors Journal, vol. 21, no. 5, pp. 6050-6056, Mar. 2021.
[27] A.R. Jalalvand, Z. Rashidi, M. Khajenoori, “Sensitive and selective simultaneous biosensing of nandrolone and testosterone as two anabolic steroids by a novel biosensor assisted by second-order calibration,” Steroids, vol. 189, 109138, 2023.
[28] N. Korani, L. Hajshahvaladi, and M. Danaie, "Realization of a single-mode plasmonic bandpass filter based on a ring-shaped resonator and silver nanorods," Optical and Quantum Electronics, vol. 56, no. 23, 2024.
[29] Q. Wang, et al., "Research on fiber optic surface plasmon resonance biosensors: A review," Photonic Sensors, vol. 14, p. 240201, 2024.
[30] M. H. Ehsani, S. Alamdari, "Biomaterials: Fundamentals, processing, and applications. In: Ikhmayies, S.J. (eds) Advances in Biomaterials Research. Advances in Materials Research and Technology. Springer, 2025.
[31] S.M. Ebadi, S. Khani, Highly-miniaturized nano-plasmonic filters based on stepped impedance resonators with tunable cut-off wavelengths, Plasmonics 18 (4), 1607-1618, 2023.
[32] J. Wang, et al., "Bandpass Half-Mode Substrate Integrated Plasmonic Filters with Steep Roll-Offs," IEEE Photonics Technology Letters, vol. 37, no. 5, pp. 269-272, Mar. 2025.
[33] Palik, E. D. (Ed.), Handbook of Optical Constants of Solids, Vol. 1, Academic Press, New York, USA, 1985. | ||
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