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工 程 无 序 超 表 面 及 其 在 波 前 调 控 中 的 应 用(特 邀)

  • Beijing Institute of Technology

科研成果: 期刊稿件文献综述同行评审

摘要

The wavefront shaping technique based on classical optical disordered media shows significant application potential in the field of complex optical field distribution modulation and super-diffraction-limited imaging. However, its system performance depends on the construction of the transmission matrix and high-dimensional optical field measurements. At the same time, the bulky optical system architecture restricts its application potential in miniaturized and intelligent optical systems. To address this technical bottleneck, scholars have proposed engineered disordered metasurfaces, which break through the constraints between the optical memory effect and the angular scattering distribution of the traditional scattering media through the co-design of ordered-disordered structures at the sub-wavelength scale, and significantly enhance the system stability and polarization modulation performance. In this paper, we focus on the engineered disordered metasurface technology, sort out its progress and applications in the field of optical field modulation, and summarize the random phase model based on the disordered shape of meta-atoms and the positional disorder model based on the disorder of meta-atoms' position coordinates. The two design strategies effectively expand the control freedom of the optical system by introducing controllable engineering randomness, while maintaining deterministic control capabilities. This opens up new paths for applications such as the miniaturization of optical components, scattered imaging, and the integration of optical paths for light field control. Optical system design has entered a new stage of multidimensional collaborative control.

投稿的翻译标题Engineered Disordered Metasurface and Its Applications in Wavefront Control (Invited)
源语言繁体中文
文章编号1409004
期刊Acta Optica Sinica (online)
2
14
DOI
出版状态已出版 - 7月 2025
已对外发布

关键词

  • disordered medium
  • engineered disordered metasurface
  • positional disordered model
  • random phase model

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