Breaking the fabrication determined resolution limit of photonic crystal wavemeter by machine learning

Jocelyn Hofs, Takumasa Kodama, Shengji Jin, Takasumi Tanabe

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

Abstract

By utilizing random localization patterns as training data for machine learning, we achieved a 0.2-nm wavelength resolution with a fabricated photonic crystal wavemeter, which greatly exceeds the limit imposed by the fabrication.

Original languageEnglish
Title of host publicationCLEO
Subtitle of host publicationScience and Innovations, CLEO_SI 2020
PublisherOSA - The Optical Society
ISBN (Electronic)9781557528209
DOIs
Publication statusPublished - 2020
EventCLEO: Science and Innovations, CLEO_SI 2020 - Washington, United States
Duration: 2020 May 102020 May 15

Publication series

NameOptics InfoBase Conference Papers
VolumePart F183-CLEO-SI 2020

Conference

ConferenceCLEO: Science and Innovations, CLEO_SI 2020
CountryUnited States
CityWashington
Period20/5/1020/5/15

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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