Suspended graded-index porous core POF for ultra-flat near-zero dispersion terahertz transmission

Mei, Sen; Kong, Depeng; Wang, Lili; Ma, Tian; Zhu, Yuan-Feng; Xiao-dong, Zhang; He, Zhengquan; Huang, Xiangsheng; Zhang, Yani

doi:10.1016/j.yofte.2019.101946

Cited by 14 publications

(11 citation statements)

References 27 publications

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“…In addition, they reach a low EML of 0.05 cm−1, and a confinement loss of 7.24×10−7cm−1 at 1 THz. A similar study was conducted by Mei and collaborators in 2019, 12 focusing on a suspended graded-index porous core polymer optical fiber. This fiber is noteworthy for its graded-index porous core and the incorporation of five spoke-like dielectric supporting strips, contributing to the enhancement of its dispersion properties.…”

Section: Introductionmentioning

confidence: 81%

“…Recently, researchers have shown that birefringence, loss, dispersion, and effective area can be controlled with the geometry, shape, and distribution of air holes in the porous-core 2 , 10 – 13 These configurations are very interesting, as flat dispersion fibers can generally be obtained over a wide spectral range, as demonstrated by Reyes-Vera et al. They showed a configuration with low-absorption loss and a flat dispersion from 0.72 to 2 THz with a variation of the dispersion coefficient of only 0.37551±0.1281 ps/THz/cm 2 .…”

Section: Introductionmentioning

confidence: 99%

“…Based on the above, several novel configurations have been proposed using hollow-core waveguides, photonic bandgap structures, sub-wavelength hole fibers, and porous core fibers 1 , 3 , 5 , 6 , 8 – 12 All these waveguide configurations offer a great alternative as they maximize the fraction of power that is propagated in dry air. The configurations based on porous-core are particularly interesting because the subwavelength holes in the core help to confine the electromagnetic wave better than the other configurations 1 , 5 .…”

Section: Introductionmentioning

confidence: 99%

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Design of porous-core photonic crystal fiber based on machine learning approach

Soto-Perdomo,

Reyes-Vera,

Montoya-Cardona

et al. 2024

Opt. Eng.

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The traditional numerical analysis in waveguide design can be time-consuming and inefficient. This is even more prominent in the THz region and with complex shapes and materials. As an alternative to overcome these drawbacks, we propose a machine learning (ML) approach to design porous-core photonic crystal fibers (PCFs) for the THz band. This method is based on an artificial neural network (ANN) model trained to predict key parameters such as the effective refractive index, effective area, dispersion, and loss values with accuracy and speed. In that sense, the network was trained to perform multiple-output regression of the above parameters. The training data for this model comes from numerical calculations that use the finite element method (FEM) to simulate and evaluate analytical expressions. Our results demonstrate the ML model's ability to capture the complex and nonlinear relationships between the input and output parameters and accurately predict the behavior of the THz PCF. Moreover, the proposed model has an inference time of ∼0.03584 s for a batch of 32 data sets, which substantially outperforms typical calculation times needed in FEM simulations for THz waveguide design. These results show that this approach is efficient and effective and has the potential to significantly accelerate the design process of PCFs for THz applications.

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Section: Introductionmentioning

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design of porous-core photonic crystal fiber based on machine learning approach

Soto-Perdomo,

Reyes-Vera,

Montoya-Cardona

et al. 2024

Opt. Eng.

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show abstract

“…Six uniformly arranged elliptical tubes and circular tubes are connected to each other treated as the cladding structure. The white area is air with refractive index of 1, and the blue area is the Topas COC material with refractive index of 1.5258 [23]. The semi-major axis a and semi-minor axis b of the elliptical tube are 0.9 mm and 0.48 mm, respectively, and the radius d 1 of the circular tube connected with the elliptical tube is 0.3 mm.…”

Section: Fiber Structure and Designmentioning

confidence: 99%

Novel double negative curvature elliptical aperture core fiber for terahertz wave transmission

Miao¹,

Yan²,

Yuan³

et al. 2021

J. Phys. D: Appl. Phys.

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A novel double negative curvature terahertz fiber with elliptical tubes as cladding structure is designed and investigated. Six uniformly arranged elliptical hole tubes and six circular tubes are connected to each other as the cladding structure of the fiber. The confinement loss, bending loss, dispersion, and effective mode field area of the fiber are calculated in two different frequency regions. The simulation shows that the lowest confinement loss of 3.2 × 10−6 dB cm−1 can be achieved at 2.44 THz. The confinement loss is always in the order of 10−5–10−6 dB cm−1 in the frequency band of 2.22–2.5 THz. The waveguide dispersion of fiber remains between −0.18 and 0.05 ps/(THz × cm) in the frequency band of 2.04–2.4 THz. Moreover, the bending loss of 4.4 × 10−5 dB cm−1 can be obtained when the bending radius is 25 cm. The debut of this double negative curvature terahertz fiber, with combined advantages of ultralow confinement loss, low bending loss, low and flat dispersion and simple structure forebodes a new approach to completely release the potential of fiber in terahertz applications.

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“…Hollow-core fiber (HCF) has become an emerging research hotspot in recent years. Because of their advantages of extremely low absorption loss, simple structure, bending losses and low dispersion [17], HCFs are widely used in communication [18], sensing [19] and imaging [20]. In sensing applications, HCFs are used to increase the THz power interaction with the analyte, resulting in higher sensitivity of the sensor, which has been applied to gas [21], biological [22], and chemical sensing [23].…”

Section: Introductionmentioning

confidence: 99%

Terahertz anti-resonance hollow-core fiber for label-free and nondestructive detection of circulating tumor cells

He¹,

Luo²,

Huang³

et al. 2023

Preprint

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Circulating tumor cells (CTCs) can be used as important biomarkers to reflect the progress and malignancy of tumors. However, current CTC detection technologies have some limitations for clinical applications due to their complexity, low specificity and high cost. Herein, we develop a terahertz anti-resonance hollow core fiber (THz AR-HCF) biosensor for CTC detection. Through simulation and experiment comparisons, the low-loss property of the THz AR-HCF is verified, and a suitable fiber is selected for biosensing applications. By measuring different cell numbers and different types of cancer cells, a good linear relationship between THz transmittance and the numbers of cells between 10 and 106 was found. Meanwhile, different types of tumor cells can be distinguished by comparing THz transmission spectra, indicating that the biosensor has high sensitivity and specificity for CTC detection. The biosensor only required a small amount of sample, as low as 100 μl, and enables label-free and nondestructive quantitative detection. Flow cytometry results showed that the cell viability was as high as 98.5±0.26% after whole assay process and there was no statistically significant difference compared with the negative control. This study demonstrated that the proposed THz AR-HCF has great potential for highly sensitive, label-free and nondestructive detection of CTCs in clinical samples.

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Suspended graded-index porous core POF for ultra-flat near-zero dispersion terahertz transmission

Cited by 14 publications

References 27 publications

Design of porous-core photonic crystal fiber based on machine learning approach

Design of porous-core photonic crystal fiber based on machine learning approach

Novel double negative curvature elliptical aperture core fiber for terahertz wave transmission

Terahertz anti-resonance hollow-core fiber for label-free and nondestructive detection of circulating tumor cells

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