In recent times, deep learning breakthroughs have revolutionized the fields of optics and photonics, providing an indispensable tool with diverse applications in both industry and academia. Particularly, the utilization of deep learning for on-demand metasurface design has garnered significant attention. However, the conventional methods of collecting samples and training neural networks face inherent challenges when confronted with large-scale problems, often resulting in failures for expansive scenarios. To address this, we propose an innovative approach called the object-oriented inherited network, which enables large-scale and shape-unbound metasurface inverse design. Each inherited neural network acquires knowledge from a 'panel' metasurface and can be flexibly assembled to construct the desired 'offspring' metasurface. To validate the effectiveness of this paradigm, we conducted comprehensive experiments by designing a variety of metasurfaces, including both aperiodic and periodic structures. The results demonstrated remarkable accuracies, reaching an impressive 86.7%. © 2023 IEEE.

Research in metasurfaces have led to significant breakthroughs, enabling a wide range of novel physical phenomena and advanced devices. However, most existing metasurfaces are either static or rely on trial-and-error methods, limiting their efficiency and applications. In this work, we introduce the concept of neuro-metasurfaces that can automatically respond to user demands and external stimuli without iteration. We develop a generative network for inverse design of global metasurfaces, achieving over 90% accuracy using simulated far-field data. Our approach is validated through a preliminary proof-of-concept application. This work presents non-iterative active metasurfaces, opening new possibilities for practical-oriented applications. It represents a significant advancement, revolutionizing the field and paving the way for further development. © 2023 IEEE.

A low profile transmitarray antenna (TA) with high polarization purity and wide operational band is designed. It is available to obtain adjustable beam scanning and polarization selectivity, which are of vital importance for radar detection and environmental adaption. The TA is designed with partially reflective surface (PRS) element based on substrate integrated waveguide (SIW), the electromagnetic wave is fed and transmitted through aperture coupling. A compact low profile TA with reduced element coupling is thus obtained. The SIW based phase delay is also utilized here to cover a continuous 360 degree phase range. © 2022 IEEE.

With the growing channel demand in the interactive communication system, vortex beam with multi directions is of vital importance for high-efficiency communication. A chiral coding metamirror constructed with optically transparent material is proposed here to generate vortex beams carrying different topological charges in different directions. Dispersionless phase diagram covering 360 degrees is achieved based on the theory of Pancharatnam-Berry phase. The proposed metamirror unit has circular dichroism (CD) with near-perfect spin-selective absorption across a wideband and is insensitive to incident angle. Multi vortex beams can thus be selectively generated at the designated frequency, which avoid information interference. In addition, vortex beams with direction control are realized based on phase gradient mechanism. © 2022 IEEE.

Metasurfaces based on subwavelength resonators have showing unprecedented ability of controlling the flow of electromagnetic waves, enabling many novel phenomena such as retroreflection. So far, the majority of retroreflectors focus on manipulation of linear polarized waves. Besides, the conversion efficiency of retroreflectors made of gradient metasurfaces is inherently limited. Here, we propose a metagrating based retroreflector for high-efficient spin-locked retroreflection and suppression of undesired diffractions. The handedness of the reflected waves is identical with the incident one. As a proof of concept, an electric metagrating based retroreflector has been theoretically designed at microwave frequencies and numerical results show a high-efficient retroreflection can be realized at incidence angle of 30°. The proposed retroreflector with ultrathin thickness is compact. Our design may serve as a promising platform towards spin-based retroreflection devices for not only interface electromagnetics but also ultra-flat photonics. © 2020 IEEE.

This paper proposes a subwavelength metasurface composed of double-layered metallic patterns and a dielectric substrate layer. The simulation results show that multidimensional topological transition exists among two-dimensional bulk states, one-dimensional edge states, and zero-dimensional corner state, which may find promising applications in integrated chips. © 2020 IEEE.