Design and Optimization of Polarization-Maintaining Low-Loss Hollow-Core Anti-Resonant Fibers Based on a Multi-Objective Genetic Algorithm

In this work, a novel polarization-maintaining hollow-core fiber structure featuring a semi-circular nested dual-ring geometry is proposed. To simultaneously optimize two inherently conflicting performance metrics, namely, birefringence and confinement loss, a multi objective genetic algorithm is employed for geometric parameter tuning, resulting in a set of Pareto-optimal solutions. At the target wavelength of 1550 nm, the first optimal design achieves birefringence exceeding 1×10−4 over a 1275 nm bandwidth while maintaining confinement loss around 100 dB/m; the second design maintains birefringence above 1×10−4 across a 1000 nm spectral range, with confinement loss on the order of 10−1 dB/m. These optimized designs offer a promising approach for improving the performance of polarization-sensitive applications such as interferometric sensing and high coherence laser systems. The results confirm the suitability of multi-objective genetic algorithms for integrated multi-objective fiber optimization and provide a new strategy for designing low-loss and high-birefringence fiber devices.

Authors

Institutions

Publication Details

Journal
Photonics
Published
2025-08-20
DOI
https://doi.org/10.3390/photonics12080826
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Optimization of Polarization-Maintaining Low-Loss Hollow-Core Anti-Resonant Fibers Based on a Multi-Objective Genetic Algorithm

Yingwei Qin, Xiaodong Huang, Zhi‐Ling Li, Yanan Bao et al.
1 links
Photonics
Advanced Fiber Optic Sensors
article

Design and Optimization of Polarization-Maintaining Low-Loss Hollow-Core Anti-Resonant Fibers Based on a Multi-Objective Genetic Algorithm

Yingwei Qin, Xiaodong Huang, Zhi‐Ling Li, Yanan Bao, Jingjing Ren
article en

Abstract

In this work, a novel polarization-maintaining hollow-core fiber structure featuring a semi-circular nested dual-ring geometry is proposed. To simultaneously optimize two inherently conflicting performance metrics, namely, birefringence and confinement loss, a multi objective genetic algorithm is employed for geometric parameter tuning, resulting in a set of Pareto-optimal solutions. At the target wavelength of 1550 nm, the first optimal design achieves birefringence exceeding 1×10−4 over a 1275 nm bandwidth while maintaining confinement loss around 100 dB/m; the second design maintains birefringence above 1×10−4 across a 1000 nm spectral range, with confinement loss on the order of 10−1 dB/m. These optimized designs offer a promising approach for improving the performance of polarization-sensitive applications such as interferometric sensing and high coherence laser systems. The results confirm the suitability of multi-objective genetic algorithms for integrated multi-objective fiber optimization and provide a new strategy for designing low-loss and high-birefringence fiber devices.

PhotonicsVol. 12(8)
North University of China (CN), Taiyuan Normal University (CN), Shanxi University (CN), Taiyuan University of Science and Technology (CN)
Openalex Percentile: Top 80%
Advanced Fiber Optic Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Design and Optimization of Polarization-Maintaining Low-Loss Hollow-Core Anti-Resonant Fibers Based on a Multi-Objective Genetic Algorithm — Yingwei Qin, Xiaodong Huang, et al. · Photonics (2025) | TGRS Research Map | TGRS