Machine Learning for Raman Amplifier Design

Uiara Celine de Moura* (Invited author), Francesco Da Ros (Invited author), Ann M. Rosa Brusin (Invited author), Andrea Carena (Invited author), Darko Zibar (Invited author)

*Corresponding author for this work

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

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Abstract

A comprehensive discussion about the application of a machine learning tool to design Raman amplifiers is provided. Simulation and experimental results demonstrate its accuracy in achieving the desired gain profiles.
Original languageEnglish
Publication date2020
Number of pages1
Publication statusPublished - 2020
EventOSA Advanced Photonics Congress 2020 - Online event
Duration: 13 Jul 202017 Jul 2020

Conference

ConferenceOSA Advanced Photonics Congress 2020
LocationOnline event
Period13/07/202017/07/2020

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