Unknown

Dataset Information

0

Unidirectional imaging using deep learning-designed materials.


ABSTRACT: A unidirectional imager would only permit image formation along one direction, from an input field-of-view (FOV) A to an output FOV B, and in the reverse path, B → A, the image formation would be blocked. We report the first demonstration of unidirectional imagers, presenting polarization-insensitive and broadband unidirectional imaging based on successive diffractive layers that are linear and isotropic. After their deep learning-based training, the resulting diffractive layers are fabricated to form a unidirectional imager. Although trained using monochromatic illumination, the diffractive unidirectional imager maintains its functionality over a large spectral band and works under broadband illumination. We experimentally validated this unidirectional imager using terahertz radiation, well matching our numerical results. We also created a wavelength-selective unidirectional imager, where two unidirectional imaging operations, in reverse directions, are multiplexed through different illumination wavelengths. Diffractive unidirectional imaging using structured materials will have numerous applications in, e.g., security, defense, telecommunications, and privacy protection.

SUBMITTER: Li J 

PROVIDER: S-EPMC11318665 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Unidirectional imaging using deep learning-designed materials.

Li Jingxi J   Gan Tianyi T   Zhao Yifan Y   Bai Bijie B   Shen Che-Yung CY   Sun Songyu S   Jarrahi Mona M   Ozcan Aydogan A  

Science advances 20230428 17


A unidirectional imager would only permit image formation along one direction, from an input field-of-view (FOV) A to an output FOV B, and in the reverse path, B → A, the image formation would be blocked. We report the first demonstration of unidirectional imagers, presenting polarization-insensitive and broadband unidirectional imaging based on successive diffractive layers that are linear and isotropic. After their deep learning-based training, the resulting diffractive layers are fabricated t  ...[more]

Similar Datasets

| S-EPMC8361214 | biostudies-literature
| S-EPMC10700131 | biostudies-literature
| S-EPMC10558692 | biostudies-literature
| S-EPMC11246001 | biostudies-literature
| S-EPMC10725253 | biostudies-literature
| S-EPMC7055566 | biostudies-literature
| S-EPMC9202565 | biostudies-literature
| S-EPMC8294532 | biostudies-literature
| S-EPMC8220702 | biostudies-literature
| S-EPMC5869052 | biostudies-other