Optimization of multilayer optical films with unsupervised learning, reinforcement learning and genetic algorithm

Jiang Anqing, Osamu Yoshie

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

Abstract

We proposed an optical film optimal algorithm using at hree-step machine learning algorithm. which applies to design layered thin-film materials. As a verification, the absorption of the designed solar selective absorption film is 91%.

Original languageEnglish
Title of host publicationFrontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020
PublisherThe Optical Society
ISBN (Electronic)9781557528209
DOIs
Publication statusPublished - 2020 Sep 14
Event2020 Frontiers in Optics Conference, FiO 2020 - Washington, United States
Duration: 2020 Sep 142020 Sep 17

Publication series

NameOptics InfoBase Conference Papers

Conference

Conference2020 Frontiers in Optics Conference, FiO 2020
CountryUnited States
CityWashington
Period20/9/1420/9/17

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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