Key points are not available for this paper at this time.
Moiré meta-devices facilitate continuous and precise modulation of optical properties through the alteration of the relative alignment, such as twisting, sliding, or rotating of the metasurfaces. This capability renders them particularly suitable for dynamic applications, including zoom optics and adaptive imaging systems. Nevertheless, such designs often sacrifice more complex functionalities, such as polarization manipulation, in favor of simplicity and tunability. Here, we propose and experimentally validate a design strategy for a twisted bilayer metasurface that exhibits both varifocal capabilities and polarization filtering properties. By selecting silicon pillars with polarization-maintaining properties for Layer I and polarization-converting properties for Layer II, the designed Moiré metasurface can become sensitive to specific polarization states. Experimental results demonstrate that the proposed design can generate on-demand terahertz (THz) focused beams, achieving an average focusing efficiency exceeding 35% under x -linearly polarized ( x -LP) illumination. This is accomplished by systematically varying the twisting angles p and q of Layer I in relation to Layer II in increments of 30°. Additionally, we provide numerical evidence that the focal length of the transmitted vortex beam can be adjusted using the same approach. The Moiré meta-device platform, which is engineered to modulate optical properties via mechanical twisting, obviates the necessity for external power sources or active materials. This generalized design strategy has the potential to significantly expedite the commercialization of multifunctional metasurfaces, which can produce high-precision optics across various practical applications.
Building similarity graph...
Analyzing shared references across papers
Loading...
Hui Li
Tianjin University of Technology
Chenhui Zhao
BGI Group (China)
Wenhui Xu
Beihua University
Photonics Research
Zhengzhou University
Nanchang University
Chengdu University of Information Technology
Building similarity graph...
Analyzing shared references across papers
Loading...
Li et al. (Mon,) studied this question.
synapsesocial.com/papers/69ffdf88831589f3542dad32 — DOI: https://doi.org/10.1364/prj.554358