Design and Optimization of Porous-Core Photonic Crystal Fiber Biosensor for Label-Free White Blood Cell Classification Using Crayfish Equivariant Simplicial Quantum Attention Networks DOI Creative Commons

K. Asan Mohideen,

Saravanan Pandiaraj, Kumaravel Kaliaperumal

et al.

ECS Journal of Solid State Science and Technology, Journal Year: 2024, Volume and Issue: 13(12), P. 127003 - 127003

Published: Dec. 2, 2024

Swift and precise categorization of white blood cells is crucial for diagnosis several hematological conditions. Conventional techniques include intricate labeling procedures that are laborious resource-demanding. A new porous core photonic crystal fiber biosensor was developed to tackle these issues, optimized using the Crayfish Equivariant Simplicial Quantum Attention Network (CESQAN) algorithm. The suggested sensor design utilizes graphene, capitalizing on its remarkable optical qualities capacity handle high-dimensional data while preserving geometric integrity. graphene-based increases interactions, leading increased specificity other output performance metrics. An improved obtained by optimizing parameters, size, chemical potential graphene. has an outstanding quality factor 11.468, higher accuracy 99.92%, F1 score 99.72%, lower processing time 0.1 s, a figure merit 2.887. To enhance optimization diminish computing complexity, CESQAN included in this research behavioral prediction. model’s impressive suggests proposed great promise accurate quick detection as well monitoring health issues. sensor’s superior metrics, together with streamlined appearance, signify significant progression biosensing technology.

Language: Английский

High birefringence low loss nearly zero flat dispersion similar to slotted core photonic crystal fibers DOI

Chunrong Jia,

Qingyu Zhang, Zhipeng Chen

et al.

Journal of Optical Communications, Journal Year: 2024, Volume and Issue: unknown

Published: May 15, 2024

Abstract Studying high-performance photonic crystal fibers (PCF) is of significant scientific importance for terahertz (THz) waveguide systems. This study introduces a novel PCF design with core composed the smallest sub-wavelength units resembling slotted structure, aiming to achieve high birefringence and low loss. The optical properties proposed are analyzed through simulations, yielding impressive results. exhibits an ultra-high 0.07848, minimum limiting loss 10 −17 dB/cm, effective material as 0.04251 cm −1 . Moreover, it demonstrates near-zero flat dispersion −0.012 ± 0.074 ps/THz/cm over broad frequency range 1.2–2.2 THz. fiber stands out by not only providing but also striking optimal balance among birefringence, transmission loss, THz waveguides. implications this work profound development communication systems, polarization-maintaining transmission, sensing applications. Furthermore, established important benchmark THz-PCFs that prioritize dispersion, offering essential reference future research in field.

Language: Английский

Citations

2
Mid-infrared supercontinuum generation in As2S3-circular photonic crystal fibers pumped by 4.5 μm and 6 μm femtosecond lasers DOI
Van Ben Chu, Bao Tran Le Tran, Lanh Chu Van

et al.

Journal of the Optical Society of America B, Journal Year: 2024, Volume and Issue: 41(12), P. E1 - E1

Published: July 9, 2024

A study on As 2 S 3 chalcogenide photonic crystal fiber (PCF) and its potential in supercontinuum generation (SCG) applications is presented. The designed fibers exhibit near-zero flattened chromatic dispersion, facilitating coherent broad SCG utilizing femtosecond lasers at 4.5 6 µm wavelengths. continuous spectrum spanning from 1.5 to 8 achieved when the initial stimulated with an input power of 20 kW. With a pulse width 100 fs kW, second provides soliton-induced 15 spectral bandwidth. Furthermore, integration these large core diameter PCFs high-power laser pulses guarantees preservation optical integrity without damage. Consequently, hold promise for delivering SC spectra characterized by high density, catering diverse range practical including communications, spectroscopy, sensing, metrology, calibration.

Language: Английский

Citations

2
Design of simple circular photonic crystal fiber having ultra-large negative dispersion and high birefringence for dispersion compensation DOI

Kajal Mondal

Optical and Quantum Electronics, Journal Year: 2024, Volume and Issue: 56(10)

Published: Oct. 9, 2024

Language: Английский

Citations

0
Design and Optimization of Porous-Core Photonic Crystal Fiber Biosensor for Label-Free White Blood Cell Classification Using Crayfish Equivariant Simplicial Quantum Attention Networks DOI Creative Commons

K. Asan Mohideen,

Saravanan Pandiaraj, Kumaravel Kaliaperumal

et al.

ECS Journal of Solid State Science and Technology, Journal Year: 2024, Volume and Issue: 13(12), P. 127003 - 127003

Published: Dec. 2, 2024

Swift and precise categorization of white blood cells is crucial for diagnosis several hematological conditions. Conventional techniques include intricate labeling procedures that are laborious resource-demanding. A new porous core photonic crystal fiber biosensor was developed to tackle these issues, optimized using the Crayfish Equivariant Simplicial Quantum Attention Network (CESQAN) algorithm. The suggested sensor design utilizes graphene, capitalizing on its remarkable optical qualities capacity handle high-dimensional data while preserving geometric integrity. graphene-based increases interactions, leading increased specificity other output performance metrics. An improved obtained by optimizing parameters, size, chemical potential graphene. has an outstanding quality factor 11.468, higher accuracy 99.92%, F1 score 99.72%, lower processing time 0.1 s, a figure merit 2.887. To enhance optimization diminish computing complexity, CESQAN included in this research behavioral prediction. model’s impressive suggests proposed great promise accurate quick detection as well monitoring health issues. sensor’s superior metrics, together with streamlined appearance, signify significant progression biosensing technology.

Language: Английский

Citations

0