Generative Neural Network Enables Reconfigurable Metasurface on Real-Time Free-Form Targets

We propose a generative neural network architecture that allows the inverse design of the reflective phases of units on a conformal, reconfigurable metasurface in real-time given free-form scattering requirements in different directions. The theoretical performance of this method is verified on a calculated dataset of a typical 2-D curved reflective surface.