Photonics Research, Volume. 9, Issue 5, B236(2021)

Accurate inverse design of Fabry–Perot-cavity-based color filters far beyond sRGB via a bidirectional artificial neural network

Peng Dai1、†, Yasi Wang2、†, Yueqiang Hu2, C. H. de Groot1, Otto Muskens3, Huigao Duan2,4、*, and Ruomeng Huang1,5、*
Author Affiliations
  • 1School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK
  • 2National Engineering Research Center for High Efficiency Grinding, College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
  • 3School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK
  • 4e-mail: duanhg@hnu.edu.cn
  • 5e-mail: r.huang@soton.ac.uk
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    CLP Journals

    [1] Li Gao, Yang Chai, Darko Zibar, Zongfu Yu, "Deep learning in photonics: introduction," Photonics Res. 9, DLP1 (2021)

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    Peng Dai, Yasi Wang, Yueqiang Hu, C. H. de Groot, Otto Muskens, Huigao Duan, Ruomeng Huang, "Accurate inverse design of Fabry–Perot-cavity-based color filters far beyond sRGB via a bidirectional artificial neural network," Photonics Res. 9, B236 (2021)

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    Paper Information

    Special Issue: DEEP LEARNING IN PHOTONICS

    Received: Nov. 26, 2020

    Accepted: Mar. 1, 2021

    Published Online: May. 7, 2021

    The Author Email: Huigao Duan (duanhg@hnu.edu.cn), Ruomeng Huang (r.huang@soton.ac.uk)

    DOI:10.1364/PRJ.415141

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