Modelling nonlinear propagation of periodic waveforms in optical fibre with a neural network

Sonia Boscolo; John M. Dudley; Christophe Finot

doi:10.1364/CLEO_SI.2023.SM4F.7

Modelling nonlinear propagation of periodic waveforms in optical fibre with a neural network

Sonia Boscolo, John M. Dudley, Christophe Finot

Aston Institute of Photonic Technologies (AiPT)

Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review

Abstract

We deploy a neural network to predict the spectro-temporal evolution of a periodic waveform upon nonlinear fibre propagation and demonstrate efficient probing of the input-parameter space for on-demand comb generation or significant spectral/temporal focusing occurrence.

Original language	English
Title of host publication	Technical Digest of the Conference on Lasers and Electro- Optics (CLEO 2023)
Number of pages	2
ISBN (Electronic)	9781957171258
DOIs	https://doi.org/10.1364/CLEO_SI.2023.SM4F.7
Publication status	Published - Jul 2023
Event	Conference on Lasers and Electro-Optics (CLEO 2023) - San Jose McEnery Convention Center, San Jose, United States Duration: 7 May 2023 → 12 May 2023 https://www.cleoconference.org/home/about-cleo/

Conference

Conference	Conference on Lasers and Electro-Optics (CLEO 2023)
Abbreviated title	CLEO 2023
Country/Territory	United States
City	San Jose
Period	7/05/23 → 12/05/23
Internet address	https://www.cleoconference.org/home/about-cleo/

Bibliographical note

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10.1364/CLEO_SI.2023.SM4F.7

Cleo_NN_Finot_2023
Copyright © 2023, The Author(s). This accepted manuscript version is licensed under the Creative Commons Attribution License CC BY [https://creativecommons.org/licenses/by/4.0/]
Accepted author manuscript, 548 KBLicence: CC BY 4.0

Cite this

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title = "Modelling nonlinear propagation of periodic waveforms in optical fibre with a neural network",

abstract = "We deploy a neural network to predict the spectro-temporal evolution of a periodic waveform upon nonlinear fibre propagation and demonstrate efficient probing of the input-parameter space for on-demand comb generation or significant spectral/temporal focusing occurrence.",

author = "Sonia Boscolo and Dudley, {John M.} and Christophe Finot",

note = "Copyright {\textcopyright} 2023, The Author(s). This accepted manuscript version is licensed under the Creative Commons Attribution License CC BY [https://creativecommons.org/licenses/by/4.0/].; Conference on Lasers and Electro-Optics (CLEO 2023), CLEO 2023 ; Conference date: 07-05-2023 Through 12-05-2023",

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TY - CHAP

T1 - Modelling nonlinear propagation of periodic waveforms in optical fibre with a neural network

AU - Boscolo, Sonia

AU - Dudley, John M.

AU - Finot, Christophe

PY - 2023/7

Y1 - 2023/7

N2 - We deploy a neural network to predict the spectro-temporal evolution of a periodic waveform upon nonlinear fibre propagation and demonstrate efficient probing of the input-parameter space for on-demand comb generation or significant spectral/temporal focusing occurrence.

AB - We deploy a neural network to predict the spectro-temporal evolution of a periodic waveform upon nonlinear fibre propagation and demonstrate efficient probing of the input-parameter space for on-demand comb generation or significant spectral/temporal focusing occurrence.

UR - https://opg.optica.org/abstract.cfm?uri=CLEO_SI-2023-SM4F.7

UR - https://hal.science/hal-04092055v1

U2 - 10.1364/CLEO_SI.2023.SM4F.7

DO - 10.1364/CLEO_SI.2023.SM4F.7

M3 - Chapter (peer-reviewed)

BT - Technical Digest of the Conference on Lasers and Electro- Optics (CLEO 2023)

T2 - Conference on Lasers and Electro-Optics (CLEO 2023)

Y2 - 7 May 2023 through 12 May 2023

ER -

Modelling nonlinear propagation of periodic waveforms in optical fibre with a neural network

Abstract

Conference

Bibliographical note

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