All-optical information-processing capacity of diffractive surfaces
Optical computing: the potential of layered diffractive surfaces Layers of materials that diffract light with variable spacing between them can be adjusted or “trained” to perform information-processing tasks using light alone. Diffraction is the alteration of the propagation of light waves by struc...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Nature Publishing Group
2021-01-01
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Series: | Light: Science & Applications |
Online Access: | https://doi.org/10.1038/s41377-020-00439-9 |
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author | Onur Kulce Deniz Mengu Yair Rivenson Aydogan Ozcan |
author_facet | Onur Kulce Deniz Mengu Yair Rivenson Aydogan Ozcan |
author_sort | Onur Kulce |
collection | DOAJ |
description | Optical computing: the potential of layered diffractive surfaces Layers of materials that diffract light with variable spacing between them can be adjusted or “trained” to perform information-processing tasks using light alone. Diffraction is the alteration of the propagation of light waves by structural features of the materials they encounter. Aydogan Ozcan and colleagues at the University of California, Los Angeles, USA, performed an analysis of optical neural networks composed of spatially engineered diffractive surfaces. They explored the power of multilayered networks to perform optical processing tasks, including image recognition and classification. They also determined mathematical rules describing the performance limits of the networks in relation to the number of diffractive surfaces they contained. Their work is relevant to various diffractive surfaces, including metasurfaces patterned with features smaller than the wavelength of light, and plasmonic materials governed by the coherent behavior of surface electrons. |
first_indexed | 2024-04-11T19:56:01Z |
format | Article |
id | doaj.art-8ea035f41ea24dbbb26de026d0dc3dfe |
institution | Directory Open Access Journal |
issn | 2047-7538 |
language | English |
last_indexed | 2024-04-11T19:56:01Z |
publishDate | 2021-01-01 |
publisher | Nature Publishing Group |
record_format | Article |
series | Light: Science & Applications |
spelling | doaj.art-8ea035f41ea24dbbb26de026d0dc3dfe2022-12-22T04:06:04ZengNature Publishing GroupLight: Science & Applications2047-75382021-01-0110111710.1038/s41377-020-00439-9All-optical information-processing capacity of diffractive surfacesOnur Kulce0Deniz Mengu1Yair Rivenson2Aydogan Ozcan3Electrical and Computer Engineering Department, University of CaliforniaElectrical and Computer Engineering Department, University of CaliforniaElectrical and Computer Engineering Department, University of CaliforniaElectrical and Computer Engineering Department, University of CaliforniaOptical computing: the potential of layered diffractive surfaces Layers of materials that diffract light with variable spacing between them can be adjusted or “trained” to perform information-processing tasks using light alone. Diffraction is the alteration of the propagation of light waves by structural features of the materials they encounter. Aydogan Ozcan and colleagues at the University of California, Los Angeles, USA, performed an analysis of optical neural networks composed of spatially engineered diffractive surfaces. They explored the power of multilayered networks to perform optical processing tasks, including image recognition and classification. They also determined mathematical rules describing the performance limits of the networks in relation to the number of diffractive surfaces they contained. Their work is relevant to various diffractive surfaces, including metasurfaces patterned with features smaller than the wavelength of light, and plasmonic materials governed by the coherent behavior of surface electrons.https://doi.org/10.1038/s41377-020-00439-9 |
spellingShingle | Onur Kulce Deniz Mengu Yair Rivenson Aydogan Ozcan All-optical information-processing capacity of diffractive surfaces Light: Science & Applications |
title | All-optical information-processing capacity of diffractive surfaces |
title_full | All-optical information-processing capacity of diffractive surfaces |
title_fullStr | All-optical information-processing capacity of diffractive surfaces |
title_full_unstemmed | All-optical information-processing capacity of diffractive surfaces |
title_short | All-optical information-processing capacity of diffractive surfaces |
title_sort | all optical information processing capacity of diffractive surfaces |
url | https://doi.org/10.1038/s41377-020-00439-9 |
work_keys_str_mv | AT onurkulce allopticalinformationprocessingcapacityofdiffractivesurfaces AT denizmengu allopticalinformationprocessingcapacityofdiffractivesurfaces AT yairrivenson allopticalinformationprocessingcapacityofdiffractivesurfaces AT aydoganozcan allopticalinformationprocessingcapacityofdiffractivesurfaces |