2 papers
eess.SP2023
Experiment-based deep learning approach for power allocation with a programmable metasurface
Jingxin Zhang, Jiawei Xi, Peixing Li +3
Deep learning, as a highly efficient method for metasurface inverse design, commonly use simulation data to train deep neural networks (DNNs) that can map desired functionalities t…
physics.app-ph2022
Generation of superhelical time-varying OAM beam with space-time-coding digital metasurface
Jingxin Zhang, Peixing Li, Alex M H Wong +1
The recently proposed extreme-ultraviolet (EUV) beams with time-varying orbital angular momentum (OAM) realized by high-harmonic generation (HHG) provides extraordinary tools for q…