Fast Forward Design of Randomly Coupled Multi-Core Fibers by Machine Learning

A neural network and algorithmic-assisted method is proposed to quickly design randomly coupled multicore fibers. Compared with traditional design methods, this method has good design accuracy and significantly saves time and computing resources.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11111536
Primary Topic
Antenna Design and Optimization
Type
article
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article

Fast Forward Design of Randomly Coupled Multi-Core Fibers by Machine Learning

Jiajing Tu, Weiping Liu, Cong Xu, Zhilu Luo
Antenna Design and Optimization
article

Fast Forward Design of Randomly Coupled Multi-Core Fibers by Machine Learning

Jiajing Tu, Weiping Liu, Cong Xu, Zhilu Luo
article en

Abstract

A neural network and algorithmic-assisted method is proposed to quickly design randomly coupled multicore fibers. Compared with traditional design methods, this method has good design accuracy and significantly saves time and computing resources.

Jinan University (CN)
Affordable and clean energy
Openalex Percentile: Top 71%
Antenna Design and Optimization
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Fast Forward Design of Randomly Coupled Multi-Core Fibers by Machine Learning — Jiajing Tu, Weiping Liu, et al. · (2025) | TGRS Research Map | TGRS