Metasurface designed with quantitative field distributions

A new method for designing metasurfaces has been proposed and demonstrated, which allows for the generation of precise quantitative field distributions. This unique approach involves combining a tandem neural network with an iterative algorithm to optimize the metasurface design, enabling accurate c...

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Detalles Bibliográficos
Autores principales: Wang, Shuai, Yang, Yuanmu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
News & Views
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169793/
https://www.ncbi.nlm.nih.gov/pubmed/37160909
http://dx.doi.org/10.1038/s41377-023-01155-w
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author Wang, Shuai
Yang, Yuanmu
author_facet Wang, Shuai
Yang, Yuanmu
author_sort Wang, Shuai
collection PubMed
description A new method for designing metasurfaces has been proposed and demonstrated, which allows for the generation of precise quantitative field distributions. This unique approach involves combining a tandem neural network with an iterative algorithm to optimize the metasurface design, enabling accurate control over the intensity and polarization of the resulting field. This strategy is both efficient and robust and has the potential to accelerate the development of metasurface devices with complex functionalities.
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spelling pubmed-101697932023-05-11 Metasurface designed with quantitative field distributions Wang, Shuai Yang, Yuanmu Light Sci Appl News & Views A new method for designing metasurfaces has been proposed and demonstrated, which allows for the generation of precise quantitative field distributions. This unique approach involves combining a tandem neural network with an iterative algorithm to optimize the metasurface design, enabling accurate control over the intensity and polarization of the resulting field. This strategy is both efficient and robust and has the potential to accelerate the development of metasurface devices with complex functionalities. Nature Publishing Group UK 2023-05-09 /pmc/articles/PMC10169793/ /pubmed/37160909 http://dx.doi.org/10.1038/s41377-023-01155-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle News & Views
Wang, Shuai
Yang, Yuanmu
Metasurface designed with quantitative field distributions
title Metasurface designed with quantitative field distributions
title_full Metasurface designed with quantitative field distributions
title_fullStr Metasurface designed with quantitative field distributions
title_full_unstemmed Metasurface designed with quantitative field distributions
title_short Metasurface designed with quantitative field distributions
title_sort metasurface designed with quantitative field distributions
topic News & Views
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169793/
https://www.ncbi.nlm.nih.gov/pubmed/37160909
http://dx.doi.org/10.1038/s41377-023-01155-w
work_keys_str_mv AT wangshuai metasurfacedesignedwithquantitativefielddistributions
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