Schematic of the knowledge-inherited neural network. (IMAGE)
Caption
a, Knowledge-inherited paradigm for a metasurface inverse design. Similar to “brick-by-brick” masonry buildings, conventional neural networks are inseparable, fossilized, and single-functional once built up. In contrast, the proposed knowledge-inherited (“panel-by-panel”) neural network is oriented for multi-object and shape-unbound metasurfaces. b, Flowchart of the knowledge-inherited paradigm. To match the inheritance-to-assembly scheme, two networks (INN and SNN) are established, where the INN is responsible for the inverse design of each “panel” metasurface, and the SNN aims to explore the relationship between the global target EM response and the local EM response provided by each metasurface panel. For a given “offspring” metasurface, the holistic neural network can be synthesized by assembling the INN and dynamically adjusting the SNN. c, Schematic of satellite communication based on intelligent origami metasurfaces. As a flexible, ultrathin and low-cost competitor for free beam forming, the origami metasurfaces can be conformed on the wings of satellites, which can be freely folded and stretched. Two satellites and one earth station are depicted to illustrate intersatellite communication (case 1) and satellite-earth communication (case 2).
Credit
by Yuetian Jia, Chao Qian, Zhixiang Fan, Tong Cai, Er-Ping Li, and Hongsheng Chen
Usage Restrictions
Credit must be given to the creator.
License
CC BY