Author Affiliations
1Institute of Electromagnetic Space, Southeast University, Nanjing, Jiangsu 210096, China2State Key Laboratory of Millimeter Wave, Southeast University, Nanjing, Jiangsu 210096, China3State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University, Beijing 100871, Chinashow less
Fig. 1. Geometric structure of coding unit cell
[78]. (a) Top view; (b) cross-sectional view
Fig. 2. Flow chart of joint optimization by BPSO algorithm together with CST simulation software
[78] Fig. 3. Models, reflection phases and amplitudes of 1 bit coding unit cells
[78]. (a) Geometric diagram of first coding unit cell; (b) geometric diagram of second coding unit cell; (c) reflection phases of 1 bit coding unit cells and their phase difference; (d) reflection amplitudes of 1 bit coding unit cells
Fig. 4. Structural diagram of coding unit cell
[82] Fig. 5. Flow chart of machine learning design for 1 bit coding unit with phase difference in orthogonal directions
[82] Fig. 6. Comparison of non-iterative deep learning method and conventional optimization method
[84] Fig. 7. Schematic of layered optical metamaterial
[85]. (a) Thin films composed of multiple layers of SiO
2 and Si
3N
4; (b)(c) two 6-layered thin film structures with similar transmission spectra and their corresponding spectra
Fig. 8. Tandem network composed of inverse design network and forward modeling network
[85] Fig. 9. Schematic of GAN-based inverse design method
[86] Fig. 10. All-optical diffractive neural networks
[90]. (a) Schematic of network structure; (b) schematic of 3D printing structure
Fig. 11. Imaging principle and imaging results
[77]. (a) Principle diagram of imaging algorithm; (b) four images of testing person; (c) reconstructed images corresponding to
Fig.11(b) using principal component analysis method; (d) reconstructed images corresponding to
Fig.11(b) using random radiation pattern
Fig. 12. Schematic of imaging and recognition system
[95]. (a) Collection and construction of imaging data; (b) flow chart of recognition system
Fig. 13. Structural diagram of intelligence imaging system with joint optimization
[96] Fig. 14. Principle diagram and application of smart metasurface
[97]; (a) Application scenario of satellite communication; (b) components of smart metasurface