Innovative MIM diplexer with neural network enhanced refractive index detection for advanced photonic applications

This study introduces a high-performance 4-channel Metal-Insulator-Metal (MIM) diplexer, employing silver and Teflon, optimized for advanced photonic applications. The proposed diplexer, configured with two novel band-pass filters (BPFs), operates across four distinct wavelength bands (843 nm, 1090 nm, 1452 nm, 1675 nm) by precisely manipulating the passband dimensions. Utilizing Finite-Difference Time-Domain (FDTD) simulations, the designed diplexer achieves exceptional sensitivity values of 3500 nm/RIU, 4250 nm/RIU, 3375 nm/RIU, and 4003 nm/RIU, along with high figures of merit (FOM) ranging from 113.4 to 124.7 1/RIU. Also, the compact design (400 nm × 830 nm) underscores its suitability for integrated photonic circuits and advanced sensing applications. Furthermore, to further enhance accuracy in detecting refractive index (RI) changes, a multilayer perceptron (MLP) neural network was employed, ensuring the highest sensor accuracy. The accuracy of the MIM diplexer's RI measurements was statistically validated through a one-sample t-test, confirming the sensor's reliability. Comparative analysis with existing sensors highlights the diplexer's superior sensitivity and efficiency, setting a new benchmark in optical communication and photonic sensing technologies. This work paves the way for future advancements in miniaturized, high-sensitivity optical devices, offering robust solutions for next-generation communication and sensing systems.

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Publication Details

Journal
Scientific Reports
Published
2024-12-28
DOI
https://doi.org/10.1038/s41598-024-83066-3
Citations
8
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
1.67
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article

Innovative MIM diplexer with neural network enhanced refractive index detection for advanced photonic applications

Ali Basem, Seyed Abed Zonouri, Mohamed Atiah Younis Al-zahy
8 citations
Scientific Reports
Advanced Fiber Optic Sensors
1.67
article

Innovative MIM diplexer with neural network enhanced refractive index detection for advanced photonic applications

Ali Basem, Seyed Abed Zonouri, Mohamed Atiah Younis Al-zahy
article en
8 citations

Abstract

This study introduces a high-performance 4-channel Metal-Insulator-Metal (MIM) diplexer, employing silver and Teflon, optimized for advanced photonic applications. The proposed diplexer, configured with two novel band-pass filters (BPFs), operates across four distinct wavelength bands (843 nm, 1090 nm, 1452 nm, 1675 nm) by precisely manipulating the passband dimensions. Utilizing Finite-Difference Time-Domain (FDTD) simulations, the designed diplexer achieves exceptional sensitivity values of 3500 nm/RIU, 4250 nm/RIU, 3375 nm/RIU, and 4003 nm/RIU, along with high figures of merit (FOM) ranging from 113.4 to 124.7 1/RIU. Also, the compact design (400 nm × 830 nm) underscores its suitability for integrated photonic circuits and advanced sensing applications. Furthermore, to further enhance accuracy in detecting refractive index (RI) changes, a multilayer perceptron (MLP) neural network was employed, ensuring the highest sensor accuracy. The accuracy of the MIM diplexer's RI measurements was statistically validated through a one-sample t-test, confirming the sensor's reliability. Comparative analysis with existing sensors highlights the diplexer's superior sensitivity and efficiency, setting a new benchmark in optical communication and photonic sensing technologies. This work paves the way for future advancements in miniaturized, high-sensitivity optical devices, offering robust solutions for next-generation communication and sensing systems.

Scientific ReportsVol. 14(1)
Razi University (IR), University of Misan (IQ), University of Kerbala (IQ), University of Warith Al-Anbiyaa
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Advanced Fiber Optic Sensors
1.67
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