Designing Weakly-Coupled Multimode Fibers Employing Large Language Models (LLMs)

We propose using large language models (LLMs) to optimize fiber design simulations and enhance automation. Our results demonstrate that LLMs can efficiently design multimode fibers with reduced mode coupling between mode groups.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/cleo_at.2025.jps200_175
Primary Topic
Optical Network Technologies
Type
article
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article

Designing Weakly-Coupled Multimode Fibers Employing Large Language Models (LLMs)

Nicolas K. Fontaine, Mikael Mazur, Haoshuo Chen, Roland Ryf et al.
Optical Network Technologies
article

Designing Weakly-Coupled Multimode Fibers Employing Large Language Models (LLMs)

Nicolas K. Fontaine, Mikael Mazur, Haoshuo Chen, Roland Ryf, David T. Neilson, Xiaonan Xu
article en

Abstract

We propose using large language models (LLMs) to optimize fiber design simulations and enhance automation. Our results demonstrate that LLMs can efficiently design multimode fibers with reduced mode coupling between mode groups.

Openalex Percentile: Top 75%
Optical Network Technologies
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Designing Weakly-Coupled Multimode Fibers Employing Large Language Models (LLMs) — Nicolas K. Fontaine, Mikael Mazur, et al. · (2025) | TGRS Research Map | TGRS