4.8 Article

In Situ Customized Illusion Enabled by Global Metasurface Reconstruction

Journal

ADVANCED FUNCTIONAL MATERIALS
Volume 32, Issue 19, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.202109331

Keywords

cycle stability; decelerated voltage fading; gradient doping; Li-rich layered oxide; stabilized lattice oxygen

Funding

  1. National Natural Science Foundation of China (NNSFC) [61625502, 62071424, 62027805, 11961141010, 61975176, 62101485]
  2. Top-Notch Young Talents Program of China
  3. Fundamental Research Funds for the Central Universities
  4. China Postdoctoral Science Foundation [2020M671720]

Ask authors/readers for more resources

Optical illusion has always been of great interest due to its self-protection ability. Transformation optics, which allows manipulation of light for invisibility cloaking and optical illusion, has faced challenges due to material requirements and computational cost. A novel optical illusion based on form-free metasurfaces and deep learning architecture is proposed, reducing the parameter space and bringing illusion strategies closer to practical applications.
Optical illusion has always attracted extensive attention, as it provides a superior self-protection ability for both natural animals and human beings. A decade ago, this motivated the study and application of transformation optics, which provides a universal tool to manipulate light for invisibility cloaking and optical illusion. However, mainstream transformation-optics-based optical illusions are inherently hindered by the extreme requirements of metamaterial compositions in practice and unfavorably limited by the very large computational cost caused by their bulky state. To overcome these grand challenges, a novel and intelligent optical illusion supported by form-free metasurfaces via a deep learning architecture is reported, which can not only render a similar illusion effect but also greatly reduces the parameter space in physics. Illustrative examples of conformal metasurfaces are presented, with a high-fidelity inverse design from either the near- or far-field in the simulation and experiment. Furthermore, a full set of intelligent systems is developed to benchmark the real-world optical illusion applicability. The work brings the available illusion strategies closer to a wide range of in situ practical-oriented applications and lays a foundation for the next generation of intelligent metamaterials.

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