Acta Optica Sinica (Online), Volume. 2, Issue 16, 1602001(2025)
Inverse Design of Ultraviolet Absorber Utilizing Tandem Neural Networks
Fig. 1. Schematics of the unit structure of UV broadband absorber. (a) Three-dimensional view; (b) top view
Fig. 3. Contour plot depicting the structure transmittance as a function of substrate thicknesses
Fig. 5. Loss value varies with the number of epochs when training FNN
Fig. 6. Comparison of absorption spectra simulated and predicted by trained FNN
Fig. 8. Loss value varies with the number of epochs when training TNN
Fig. 9. Comparison of absorption spectra simulated and predicted by trained TNN
Fig. 10. Comparison of target absorption spectrum, TNN predicted absorption spectrum, and simulated absorption spectrum at incident angle of 50°
Fig. 11. Contour plots of absorptivity. (a) TM wave incidence; (b) TE wave incidence
Fig. 12. Absorption spectra of TM and TE waves at incident angle of 0°
Fig. 13. Contour plots of absorptivity corresponding to different azimuth angles at incident angle of 0°
Fig. 15. Electromagnetic field distributions at 290 nm when TM wave and TE wave are vertically incident. (a)‒(c) Electric field distribution of TM wave; (d)‒(f) magnetic field distribution of TM wave; (g)‒(i) electric field distribution of TE wave; (j)‒(l) magnetic field distribution of TE wave
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Xufei Fan, Wenrui Xue, Fanyi Meng. Inverse Design of Ultraviolet Absorber Utilizing Tandem Neural Networks[J]. Acta Optica Sinica (Online), 2025, 2(16): 1602001
Category: Photonic and Optoelectronic Devices
Received: Jul. 7, 2025
Accepted: Jul. 16, 2025
Published Online: Aug. 7, 2025
The Author Email: Wenrui Xue (wrxue@sxu.edu.cn)
CSTR:32394.14.AOSOL250490