Machine learning analysis of 2×1 VCSEL array coherence and imaginary coupling coefficient

Pawel Strzebonski, William North, Nusrat Jahan, Kent D. Choquette

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Machine learning is used to estimate the coherent-coupling power enhancement from 2×1 VCSEL arrays and serves to identify coherent non-Hermitian operation.

Original languageEnglish (US)
Title of host publicationCLEO
Subtitle of host publicationQELS_Fundamental Science, CLEO: QELS 2021
PublisherThe Optical Society
ISBN (Electronic)9781557528209
StatePublished - 2021
EventCLEO: QELS_Fundamental Science, CLEO: QELS 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States
Duration: May 9 2021May 14 2021

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceCLEO: QELS_Fundamental Science, CLEO: QELS 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021
Country/TerritoryUnited States
CityVirtual, Online
Period5/9/215/14/21

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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