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

Peng Dai; Yasi Wang; Yueqiang Hu; C. H. de Groot; Otto Muskens; Huigao Duan; Ruomeng Huang

doi:10.1364/PRJ.415141

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 Dai^1、†, Yasi Wang^2、†, Yueqiang Hu², C. H. de Groot¹, Otto Muskens³, Huigao Duan^2,4、*, and Ruomeng Huang^1,5、*

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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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

Topics

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