Design of Broadband Low-Dispersion Valley Photonic Crystal Slow-Light Waveguide Based on Machine Learning

Yuchen Zhao; Yeping Wang; Zhan Hu; Yurong Pu; Xiaoli Xi

doi:10.3788/AOS241906

Acta Optica Sinica, Volume. 45, Issue 10, 1013001(2025)

Design of Broadband Low-Dispersion Valley Photonic Crystal Slow-Light Waveguide Based on Machine Learning

Yuchen Zhao, Yeping Wang, Zhan Hu, Yurong Pu^*, and Xiaoli Xi^**

Author Affiliations

School of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, Shaanxi , China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(8)

Fig. 1. VPhC waveguide structure with bearded interface. (a) Two-dimensional planar model; (b) unit cell structures of two different VPhCs

Download full size

Fig. 2. Simulation results of boundary states in VPhC slow-light waveguide. (a) Dispersion curves of topological and trivial boundary states; (b) variation curves of boundary state $n_{g}$

Download full size

Fig. 3. Results of dispersion curve variation with air hole. (a) Air hole parameter structure; (b) variations of dispersion curve with $L_{1}$ ; (c) variations of dispersion curve with $L_{2}$ ; (d) variations of dispersion curve with $L_{3}$ ; (e) changes in $n_{g}$ and NDBP with $L_{3}$

Download full size

Fig. 4. Neural network structure and performance results. (a) Block diagram of optimization by PSO combined with serial classification neural network; (b) MSE curve of the classification neural network; (c) MSE curve of the prediction neural network; (d) comparison of predicted and calculated NDBP values

Download full size

Fig. 5. Optimization results. (a) Dispersion curve; (b) $n_{g}$ variation curve; (c) transmission spectra of straight and Z-type waveguides; (d) time-domain optical pulse transmission; (e) schematic diagram of straight and Z-type waveguides; (f) magnetic field intensity at 1550 nm

Download full size

Fig. 6. Impact of manufacturing errors on $n_{g}$ and NDBP. (a) $L_{1}$ ; (b) $L_{2}$ ; (c) $L_{3}$

Download full size

Table 1. Number of neural network training and test samples
View table
Table 1. Number of neural network training and test samples
Neural network Total number of samples Training set Test set
Classification neural network 1287 900 387
Prediction neural network 501 351 150

Table 2. Comparison with NDBP of VPhC slow-light waveguides reported in literatures
View table
Table 2. Comparison with NDBP of VPhC slow-light waveguides reported in literatures
Reference $n_{g}$ $Δ λ / λ_{0}$ $λ_{0}$ /nm NDBP
［23］ 24.00 0.0108 — 0.260
［25］ 20.00 0.0110 640.5 0.220
Ours 21.89 0.0163 1550.0 0.356

Tools

Get Citation

Copy Citation Text

Yuchen Zhao, Yeping Wang, Zhan Hu, Yurong Pu, Xiaoli Xi. Design of Broadband Low-Dispersion Valley Photonic Crystal Slow-Light Waveguide Based on Machine Learning[J]. Acta Optica Sinica, 2025, 45(10): 1013001

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites