Design of high-performance photonic crystal fiber polarization filter by Grey Wolf Optimizer with convolutional neural network

Yanga, Dan; Huang, Jian; Bin, Xu; Lv, Geng; Li, Yijin; Cheng, Tonglei

doi:10.1016/j.ijleo.2023.170925

Cited by 4 publications

(1 citation statement)

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“…However, the fabrication process of traditional PCF sensors [6][7][8] is relatively complex, which limits their industrial application and development. Compared with traditional PCF sensors, D-shaped photonic crystal fiber sensors [9][10][11] solve the complexity of the fabrication and detection processes. The D-type PCF sensor has a novel PCF structure with a micro-deformed ring structure formed by ion beam etching.…”

Section: Introductionmentioning

confidence: 99%

Ultra-wide measurement range D-shaped photonic crystal fiber sensor based on surface plasmon resonance

Zhang,

Yang,

Dong

2024

Preprint

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In this paper, a kind of D-type photonic crystal fiber (PCF) sensor with an ultra-wide detection range based on micro-opening gold film coating is proposed. This sensor allows for the sensing detection of the refractive index (RI) of the analyte ranging from 1.30 to 1.42. However, the sensor coated with a micro-opening gold film only achieves an average wavelength sensitivity of 1489 nm/RIU in the x-polarization direction. To improve the performance of the sensor, an attempt was made to replace the micro-opening gold film with MoO2 nanofilm. After simulation calculation, it was found that the RI detection range of the sensor using MoO2 nano-film became 1.33–1.39. Excitingly, the average wavelength sensitivity in the x-polarized direction reaches 17, 178 nm/RIU, which is 11.5 times better than the original sensor. This implies that the sensor is more sensitive to changes in the RI and can provide more accurate sensing and detection results. It has been demonstrated that the performance of a D-type PCF sensor can be significantly improved by using MoO2 nanofilm. This improvement helps to expand the application domain of sensors and enhance the accuracy of sensing detection. We believe that this research result has important implications for the development of fiber sensor technologies.

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