AI-driven design of multifunctional metasurfaces for wavefront engineering in IRS and antenna systems
This work presents a deep learning (DL)-assisted inverse-design framework for the automated synthesis of multifunctional pixelated metasurfaces. A deep neural network (DNN) is trained to map prescribed electromagnetic responses, specified by amplitude and phase, to corresponding 3-bit encoded unit-cell geometries for b...