Machine learning control of complex nonlinear dynamics in fibre lasers

Sonia Boscolo; Junsong Peng; Xiuqi Wu; Ying Zhang; Christophe Finot; Heping Zeng

doi:10.1051/epjconf/202328706001

Machine learning control of complex nonlinear dynamics in fibre lasers

Sonia Boscolo, Junsong Peng, Xiuqi Wu, Ying Zhang, Christophe Finot, Heping Zeng

Aston Institute of Photonic Technologies (AiPT)

Research output: Contribution to journal › Conference article › peer-review

Abstract

We review our recent work on the use of genetic algorithms to control non-stationary nonlinear wave dynamics in ultrafast fibre lasers, including the generation of breathing-soliton dynamics with controlled characteristics, the disclosure of the fractal dynamics of breathers, and the generation of rogue waves with controlled intensity.

Original language	English
Article number	06001
Number of pages	2
Journal	EPJ Web of Conferences
Volume	287
DOIs	https://doi.org/10.1051/epjconf/202328706001
Publication status	Published - 18 Oct 2023
Event	EOS Annual Meeting (EOSAM 2023) - Dijon Exhibition and Convention Center, Dijon, France Duration: 11 Sept 2023 → 15 Sept 2023 https://www.europeanoptics.org/events/eos/eosam2023.html

Bibliographical note

© The Authors, published by EDP Sciences, 2023. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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© The Authors, published by EDP Sciences, 2023. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Accepted author manuscript, 2.54 MBLicence: CC BY 4.0

Cite this

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title = "Machine learning control of complex nonlinear dynamics in fibre lasers",

abstract = "We review our recent work on the use of genetic algorithms to control non-stationary nonlinear wave dynamics in ultrafast fibre lasers, including the generation of breathing-soliton dynamics with controlled characteristics, the disclosure of the fractal dynamics of breathers, and the generation of rogue waves with controlled intensity.",

author = "Sonia Boscolo and Junsong Peng and Xiuqi Wu and Ying Zhang and Christophe Finot and Heping Zeng",

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TY - JOUR

T1 - Machine learning control of complex nonlinear dynamics in fibre lasers

AU - Boscolo, Sonia

AU - Peng, Junsong

AU - Wu, Xiuqi

AU - Zhang, Ying

AU - Finot, Christophe

AU - Zeng, Heping

N1 - © The Authors, published by EDP Sciences, 2023. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PY - 2023/10/18

Y1 - 2023/10/18

N2 - We review our recent work on the use of genetic algorithms to control non-stationary nonlinear wave dynamics in ultrafast fibre lasers, including the generation of breathing-soliton dynamics with controlled characteristics, the disclosure of the fractal dynamics of breathers, and the generation of rogue waves with controlled intensity.

AB - We review our recent work on the use of genetic algorithms to control non-stationary nonlinear wave dynamics in ultrafast fibre lasers, including the generation of breathing-soliton dynamics with controlled characteristics, the disclosure of the fractal dynamics of breathers, and the generation of rogue waves with controlled intensity.

UR - https://www.epj-conferences.org/articles/epjconf/abs/2023/13/epjconf_eosam2023_06001/epjconf_eosam2023_06001.html

U2 - 10.1051/epjconf/202328706001

DO - 10.1051/epjconf/202328706001

M3 - Conference article

SN - 2100-014X

VL - 287

JO - EPJ Web of Conferences

JF - EPJ Web of Conferences

M1 - 06001

T2 - EOS Annual Meeting (EOSAM 2023)

Y2 - 11 September 2023 through 15 September 2023

ER -

Machine learning control of complex nonlinear dynamics in fibre lasers

Abstract

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