Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network

Boscolo, Sonia; Dudley, John M.; Finot, Christophe

doi:10.1016/j.optcom.2023.129563

Optics Communications

2023

DOI: 10.1016/j.optcom.2023.129563

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Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network

Sonia Boscolo

John M. Dudley

Christophe Finot

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Cited by 6 publications

References 49 publications

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Artificial Intelligence-Enabled Mode-Locked Fiber Laser: A Review

Ma,

2023

Nanomanuf Metrol

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Owing to their compactness, robustness, low cost, high stability, and diffraction-limited beam quality, mode-locked fiber lasers play an indispensable role in micro/nanomanufacturing, precision metrology, laser spectroscopy, LiDAR, biomedical imaging, optical communication, and soliton physics. Mode-locked fiber lasers are a highly complex nonlinear optical system, and understanding the underlying physical mechanisms or the flexible manipulation of ultrafast laser output is challenging. The traditional research paradigm often relies on known physical models, sophisticated numerical calculations, and exploratory experimental attempts. However, when dealing with several complex issues, these traditional approaches often face limitations and struggles in finding effective solutions. As an emerging data-driven analysis and processing technology, artificial intelligence (AI) has brought new insights into the development of mode-locked fiber lasers. This review highlights the areas where AI exhibits potential in accelerating the development of mode-locked fiber lasers, including nonlinear dynamics prediction, ultrashort pulse characterization, inverse design, and automatic control of mode-locked fiber lasers. Furthermore, the challenges and potential future development are discussed.

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Artificial Intelligence-Enabled Mode-Locked Fiber Laser: A Review

Ma,

2023

Nanomanuf Metrol

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Well-dressed repulsive-core solitons and nonlinear optics of nuclear reactions

Serkin

Belyaeva

2023

Optics Communications

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Solitons and coherent structures in optics: 50th anniversary of the prediction of optical solitons in fiber

Boscolo,

Dudley,

Finot

2025

Optics Communications

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Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network

Cited by 6 publications

References 49 publications

Artificial Intelligence-Enabled Mode-Locked Fiber Laser: A Review

Artificial Intelligence-Enabled Mode-Locked Fiber Laser: A Review

Well-dressed repulsive-core solitons and nonlinear optics of nuclear reactions

Solitons and coherent structures in optics: 50th anniversary of the prediction of optical solitons in fiber

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