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

Journals >Photonics Research >Volume 9 >Issue 5 >Page B236 > Article

Photonics Research
Vol. 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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DOI: 10.1364/PRJ.415141 Cite this Article Set citation alerts

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[J]. Photonics Research, 2021, 9(5): B236 Copy Citation Text

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