Xin SUN, Wenxiu LI, Shuo JIANG, Zongqi YANG, Xinyao HUANG, Hao ZHANG, Anping HUANG, Zhisong XIAO. Regulation Method of Fano Resonance Effect Based on Deep Learning in Micro-ring Resonators[J]. Acta Photonica Sinica, 2024, 53(5): 0553111
- Acta Photonica Sinica
- Vol. 53, Issue 5, 0553111 (2024)
Fig. 1. Schematic diagram of micro-resonator system
Fig. 2. Air hole array etched waveguide micro-resonator system
Fig. 3. Transmission spectrum of unetched micro-resonator
Fig. 4. MLP Network training process
Fig. 5. Loss comparison across neural networks with varying layer counts
Fig. 6. Training and validation losses at LR 0.000 1
Fig. 7. MRR transmittance simulation using neural network and FDTD method
Fig. 8. Prediction curves of transmission spectra for air hole array and corresponding micro-resonator
Fig. 9. Comparison of model cosine similarity at different epochs
Fig. 10. Model error evaluation chart
Fig. 11. Data encoding and decoding transformation
Fig. 12. Inverse design and verification process
Fig. 13. Grayscale plot of predicted transmission characteristics for different micro-resonator
Fig. 14. Changes in slope and design parameter differences during the optimization process
Fig. 15. Relationship between slope and centroid position during optimization process
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Table 1. Predictive Model Performance
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