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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    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


    ConferenceOSA Advanced Photonics Congress 2020
    LocationOnline event


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