OTF Gym: A set of reinforcement learning environment of layered optical thin film inverse design

Anqing Jiang*, Liangyao Chen, Osamu Yoshie

*この研究の対応する著者

研究成果: Conference contribution

抄録

OTF gym is a python library for optical thin film inverse design. This paper focuses on creating a collection of the reinforcement learning environment to achieve a multi-layer optical thin film inverse design. We develop environments based on TMM simulation to solve various optimization targets(material, thickness, structural) with a single-agent and multi-agent reinforcement learning algorithm. This code is available in Github.

本文言語English
ホスト出版物のタイトルCLEO
ホスト出版物のサブタイトルScience and Innovations, CLEO:S and I 2021
出版社The Optical Society
ISBN(電子版)9781557528209
出版ステータスPublished - 2021
イベントCLEO: Science and Innovations, CLEO:S and I 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States
継続期間: 2021 5月 92021 5月 14

出版物シリーズ

名前Optics InfoBase Conference Papers

Conference

ConferenceCLEO: Science and Innovations, CLEO:S and I 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021
国/地域United States
CityVirtual, Online
Period21/5/921/5/14

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 材料力学

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