This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:


peer-reviewed publication

trusted source


AI-designed unidirectional imagers

AI-Designed Unidirectional Imagers
Illustration of an AI-designed unidirectional imager with image formation in only one direction and is capable of maintaining its functionality over a broad spectrum of wavelengths, independent of the light polarization. Credit: Ozcan Lab @ UCLA

Traditional optical imaging and communication systems, typically composed of lenses, perform imaging operations in both forward and backward directions. Similar to a pipe that enables liquid to flow through from one end to the other in both directions, standard optical materials and lenses allow light to travel both ways through devices such as a camera.

A research team at the UCLA Samueli School of Engineering recently invented a new unidirectional material to break this paradigm in optical imaging. The researchers used (AI) to structurally engineer materials with details at scales smaller than the . The result is an imager design through which imaging is only possible in one direction, while being blocked from the other.

Published today in Science Advances, the paper titled "Unidirectional Imaging Using Deep Learning-Designed Materials" delineates the innovative optical imager design consisting of a series of transmissive optical layers through the spatial engineering of materials using deep learning.

"This AI-driven engineering of the material leads to the formation of multiple structured, transparent layers that collectively modulate the optical waves with an asymmetric behavior in the forward and backward imaging directions," said study lead Aydogan Ozcan, a UCLA Samueli professor of electrical and computer engineering and holder of UCLA's Volgenau Chair for Engineering Innovation. "The resulting unidirectional imager allows image formation from an input field of view to an output field of view, but not the other way around. The reverse path for image formation is blocked."

Even under broadband light composed of many wavelengths, the unidirectional imager can maintain its functionality despite being trained using a single illumination wavelength. This unidirectional imaging capability is also independent of light polarization and works under any orientation of light oscillations. In their experiments, the researchers successfully demonstrated the design's efficacy on a 3D-printed multilayered imager by exposing it to terahertz radiation.

The team also designed a separate imager that allowed a user to choose which direction the image should be blocked by selecting a specific wavelength. For example, at one wavelength, the image formation only works from left to right, while at a different wavelength, the reversed path is the only direction from which the image can be seen.

This -multiplexed design enhances the unidirectional imager's capability and flexibility, allowing it to function like a switchboard to control the transmission of information coded in . Unidirectional imagers can operate at any part of the electromagnetic spectrum using different transmissive materials or substrates, and they are very thin—with a few tens of wavelengths in thickness, which, in the , would correspond to the thickness of a stamp. These unidirectional imagers could have a significant impact on various fields, including security, defense and telecommunications.

More information: Jingxi Li et al, Unidirectional imaging using deep learning–designed materials, Science Advances (2023). DOI: 10.1126/sciadv.adg1505

Journal information: Science Advances
Citation: AI-designed unidirectional imagers (2023, May 1) retrieved 27 May 2024 from
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

Wavelength-multiplexed diffractive optical processor computes hundreds of linear transformations in parallel


Feedback to editors