Inverse design of photonic crystal fiber for four-wave-mixing application

Linqiao Gan; Fei Yu; Yazhou Wang; Chunlei Yu; Lili Hu

doi:10.1117/12.2667541

21 March 2023 Inverse design of photonic crystal fiber for four-wave-mixing application

Linqiao Gan, Fei Yu, Yazhou Wang, Chunlei Yu, Lili Hu

Proceedings Volume 12595, Advanced Fiber Laser Conference (AFL2022); 125950Y (2023) https://doi.org/10.1117/12.2667541
Event: Advanced Fiber Laser Conference (AFL2022), 2022, Changsha, China

Abstract

We demonstrate a method of Photonic Crystal Fiber (PCF) inverse design for nonlinear wavelength conversion based on Four-Wave Mixing (FWM), where Deep learning Neural Networks (DNN) is applied to predict PCF structure parameters. By applying empirical formula of PCF dispersion instead of numerical simulation, a large dataset of phase-matching curves is generated of various PCF designs. The average running time of DNN prediction is 0.2s. With the help of DNN, we design and fabricate a PCF for wavelength conversion via FWM from 1064 nm to 770 nm. Pumped by a microchip laser at 1064 nm, signal wavelength is detected by optical spectrum analyzer at 770.2nm

Citation Download Citation

Linqiao Gan, Fei Yu, Yazhou Wang, Chunlei Yu, and Lili Hu "Inverse design of photonic crystal fiber for four-wave-mixing application", Proc. SPIE 12595, Advanced Fiber Laser Conference (AFL2022), 125950Y (21 March 2023); https://doi.org/10.1117/12.2667541

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available