Innovative MIM diplexer with neural network enhanced refractive index detection for advanced photonic applications
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 ...
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-83066-3 |
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| author | Seyed Abed Zonouri Ali Basem Younis Mohamed Atiah Al-zahy |
| author_facet | Seyed Abed Zonouri Ali Basem Younis Mohamed Atiah Al-zahy |
| author_sort | Seyed Abed Zonouri |
| collection | DOAJ |
| description | 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. |
| format | Article |
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| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-fb9b5fd6e1aa4542bd2cb9a7880ccadc2025-08-20T02:13:14ZengNature PortfolioScientific Reports2045-23222024-12-0114111610.1038/s41598-024-83066-3Innovative MIM diplexer with neural network enhanced refractive index detection for advanced photonic applicationsSeyed Abed Zonouri0Ali Basem1Younis Mohamed Atiah Al-zahy2Electrical Engineering Department, Razi UniversityFaculty of Engineering, Warith Al-Anbiyaa UniversityCollege of Education, Department of Physics, Misan UniversityAbstract 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.https://doi.org/10.1038/s41598-024-83066-3MIM diplexerMLP neural networkHigh sensitivityRefractive index detectionPhotonic sensors |
| spellingShingle | Seyed Abed Zonouri Ali Basem Younis Mohamed Atiah Al-zahy Innovative MIM diplexer with neural network enhanced refractive index detection for advanced photonic applications Scientific Reports MIM diplexer MLP neural network High sensitivity Refractive index detection Photonic sensors |
| title | Innovative MIM diplexer with neural network enhanced refractive index detection for advanced photonic applications |
| title_full | Innovative MIM diplexer with neural network enhanced refractive index detection for advanced photonic applications |
| title_fullStr | Innovative MIM diplexer with neural network enhanced refractive index detection for advanced photonic applications |
| title_full_unstemmed | Innovative MIM diplexer with neural network enhanced refractive index detection for advanced photonic applications |
| title_short | Innovative MIM diplexer with neural network enhanced refractive index detection for advanced photonic applications |
| title_sort | innovative mim diplexer with neural network enhanced refractive index detection for advanced photonic applications |
| topic | MIM diplexer MLP neural network High sensitivity Refractive index detection Photonic sensors |
| url | https://doi.org/10.1038/s41598-024-83066-3 |
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