Design and Optimization of a Rose-Inspired Plasmonic Filter using Machine Learning

Document Type : Research Article

Authors

Electrical and Computer Engineering Faculty, Semnan University, Semnan, Iran.

10.22075/mseee.2025.39313.1231

Abstract

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.

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References

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Journal of Modeling and Simulation in Electrical and Electronics Engineering
Volume 6, Issue 1 - Serial Number 23
In Progress
March 2026
Pages 43-51

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  • Receive Date: 10 October 2025
  • Revise Date: 20 December 2025
  • Accept Date: 28 December 2025

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