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.

Publication DOI: https://doi.org/10.1364/CLEO_SI.2023.SM4F.7
Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
Additional Information: 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/].
Event Title: Conference on Lasers and Electro-Optics (CLEO 2023)
Event Type: Other
Event Location: San Jose McEnery Convention Center
Event Dates: 2023-05-07 - 2023-05-12
ISBN: 9781957171258
Last Modified: 29 Oct 2024 16:56
Date Deposited: 11 Aug 2023 16:08
Full Text Link:
Related URLs: https://opg.opt ... _SI-2023-SM4F.7 (Publisher URL)
https://hal.sci ... /hal-04092055v1 (Author URL)
PURE Output Type: Chapter (peer-reviewed)
Published Date: 2023-07
Authors: Boscolo, Sonia (ORCID Profile 0000-0001-5388-2893)
Dudley, John M.
Finot, Christophe

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Version: Accepted Version

License: Creative Commons Attribution

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