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Volume 10
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10.3390/photonics10030294
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Article

Dispersion-Oriented Inverse Design of Photonic-Crystal Fiber for Four-Wave Mixing Application

by
Linqiao Gan
1,
Fei Yu
1,2,*,
Yazhou Wang
2,
Ning Wang
1,
Xinyue Zhu
2,
Lili Hu
1,2 and
Chunlei Yu
1,2
1
School of Physics and Optoelectronic Engineering, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
2
Key Laboratory of Materials for High Power Laser, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
*
Author to whom correspondence should be addressed.
Photonics 2023, 10(3), 294; https://doi.org/10.3390/photonics10030294
Submission received: 15 January 2023 / Revised: 7 March 2023 / Accepted: 8 March 2023 / Published: 10 March 2023
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Abstract

In this paper, we demonstrate the application of a deep learning neural network (DNN) in the dispersion-oriented inverse design of photonic-crystal fiber (PCF) for the fine-tuning of four-wave mixing (FWM). The empirical formula of PCF dispersion is applied instead of numerical simulation to generate a large dataset of phase-matching curves of various PCF designs, which significantly improves the accuracy of the DNN prediction. The accuracies of DNNs’ predicted PCF structure parameters are all above 95%. The simulations of the DNN-predicted PCFs structure demonstrate that the FWM wavelength has an average numerical mean square error (MAE) of 1.92 nm from the design target. With the help of DNN, we designed and fabricated a specific PCF for wavelength conversion via FWM from 1064 nm to 770 nm for biomedical imaging applications. Pumped by a microchip laser at 1064 nm, the signal wavelength is measured at 770.2 nm.
Keywords: photonic-crystal fiber; four-wave mixing; deep learning neural networks photonic-crystal fiber; four-wave mixing; deep learning neural networks

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MDPI and ACS Style

Gan, L.; Yu, F.; Wang, Y.; Wang, N.; Zhu, X.; Hu, L.; Yu, C. Dispersion-Oriented Inverse Design of Photonic-Crystal Fiber for Four-Wave Mixing Application. Photonics 2023, 10, 294. https://doi.org/10.3390/photonics10030294

AMA Style

Gan L, Yu F, Wang Y, Wang N, Zhu X, Hu L, Yu C. Dispersion-Oriented Inverse Design of Photonic-Crystal Fiber for Four-Wave Mixing Application. Photonics. 2023; 10(3):294. https://doi.org/10.3390/photonics10030294

Chicago/Turabian Style

Gan, Linqiao, Fei Yu, Yazhou Wang, Ning Wang, Xinyue Zhu, Lili Hu, and Chunlei Yu. 2023. "Dispersion-Oriented Inverse Design of Photonic-Crystal Fiber for Four-Wave Mixing Application" Photonics 10, no. 3: 294. https://doi.org/10.3390/photonics10030294

APA Style

Gan, L., Yu, F., Wang, Y., Wang, N., Zhu, X., Hu, L., & Yu, C. (2023). Dispersion-Oriented Inverse Design of Photonic-Crystal Fiber for Four-Wave Mixing Application. Photonics, 10(3), 294. https://doi.org/10.3390/photonics10030294

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