Finot, Christophe, Sheveleva, Anastasiia, Peng, Junsong, Dudley, John M. and Boscolo, Sonia (2022). Machine learning for ultrafast nonlinear photonics. IN: Proceedings of 20th International Conference Laser Optics (ICLO 2022). SUN: IEEE.
Abstract
We review our recent progress on the application of machine-learning techniques in the field of ultrafast nonlinear fibre optics. We demonstrate that neural networks can both efficiently predict the temporal and spectral features of optical signals that are obtained after propagation in the presence of focusing and defocusing nonlinearity and solve the associated inverse problem. We also show that evolutionary algorithms can be used to control complex nonlinear dynamics of ultrafast fibre lasers.
| Publication DOI: | https://doi.org/10.1109/ICLO54117.2022 |
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| Divisions: | College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT) |
| Additional Information: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Event Title: | 20th International Conference Laser Optics |
| Event Type: | Other |
| Event Dates: | 2022-06-20 - 2022-06-24 |
| ISBN: | 978-1-6654-6664-6 |
| Last Modified: | 17 Dec 2024 08:29 |
| Date Deposited: | 19 Aug 2022 09:56 | PURE Output Type: | Chapter (peer-reviewed) |
| Published Date: | 2022-06 |
| Authors: |
Finot, Christophe
Sheveleva, Anastasiia Peng, Junsong Dudley, John M. Boscolo, Sonia ( 
0000-0001-5388-2893)
|
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