Dimensionality reduction for the on-chip integration of advanced photonic devices and functionalities

  • Daniele Melati
  • , Mohsen Kamandar Dezfouli
  • , Yuri Grinberg
  • , Muhammad Al-Digeil
  • , Dan Xia Xu
  • , Jens H. Schmid
  • , Pavel Cheben
  • , Abi Waqas
  • , Paolo Manfredi
  • , Jianhao Zhang
  • , Laurent Vivien
  • , Carlos Alonso-Ramos

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

Design of modern photonic devices requires to handle a large number of parameters and figures of merit. By scaling down the complexity of the problem, machine learning dimensionality reduction enables the discovery of better performing devices, higher integration scale, and efficient evaluation of fabrication tolerances.

Original languageEnglish
Title of host publication2021 European Conference on Optical Communication, ECOC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665438681
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event2021 European Conference on Optical Communication, ECOC 2021 - Bordeaux, France
Duration: 13 Sep 202116 Sep 2021

Publication series

Name2021 European Conference on Optical Communication, ECOC 2021

Conference

Conference2021 European Conference on Optical Communication, ECOC 2021
Country/TerritoryFrance
CityBordeaux
Period13/09/2116/09/21

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