Metasurface designed with quantitative field distributions

Shuai Wang; Yuanmu Yang

doi:10.1038/s41377-023-01155-w

Go to Nature Website

Your Location：

Home >

Browse articles >

Metasurface designed with quantitative field distributions

News & Views

- Metasurface designed with quantitative field distributions
- Light: Science & Applications Vol. 12, Issue 6, Pages: 941-942(2023)
- Affiliations：
  
  State Key Laboratory for Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China
- Author bio：
  
  Yuanmu Yang (ymyang@tsinghua.edu.cn)
- Funds：
- DOI：10.1038/s41377-023-01155-w
  CLC：
- Published：30 June 2023，
  
  Published Online：9 May 2023，
Scan for full text
Wang, S. & Yang, Y. M. Metasurface designed with quantitative field distributions. Light: Science & Applications, 12, 941-942 (2023).
DOI：

Wang, S. & Yang, Y. M. Metasurface designed with quantitative field distributions. Light: Science & Applications, 12, 941-942 (2023). DOI： 10.1038/s41377-023-01155-w.

摘要

Abstract

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.

关键词

Keywords

references

Pan,M.Y.etal.Dielectricmetalensforminiaturizedimagingsystems:progressandchallenges.Light Sci. Appl.11,195(2022)..

Sun,S.L.etal.High-efficiencybroadbandanomalousreflectionbygradientmeta-surfaces.Nano Lett.12,6223–6229(2012)..

Li,L.L.etal.Intelligentmetasurfaces:control,communicationandcomputing.eLight2,7(2022)..

Shen,Z.C.etal.Monocularmetasurfacecameraforpassivesingle-shot4Dimaging.Nat. Commun.14,1035(2023)..

Yang,Y.M.etal.Dielectricmeta-reflectarrayforbroadbandlinearpolarizationconversionandopticalvortexgeneration.Nano Lett.14,1394–1399(2014)..

Wang,S.etal.Arbitrarypolarizationconversiondichroismmetasurfacesforall-in-onefullPoincarespherepolarizers.Light Sci. Appl.10,24(2021)..

Zhao,F.etal.Metalens-assistedsystemforunderwaterimaging.Laser Photonics Rev.15,2100097(2021)..

Ni,Y.B.etal.Computationalspectropolarimetrywithatunableliquidcrystalmetasurface.eLight2,23(2022)..

Ma,W.etal.Deeplearningforthedesignofphotonicstructures.Nat. Photonics15,77–90(2021)..

Chen,M.K.etal.Artificialintelligenceinmeta-optics.Chem. Rev.122,15356–15413(2022)..

Qu,Y.R.etal.Migratingknowledgebetweenphysicalscenariosbasedonartificialneuralnetworks.ACS Photonics6,1168–1174(2019)..

Wang,F.L.etal.Visibleachromaticmetalensdesignbasedonartificialneuralnetwork.Adv. Optical Mater.10,2101842(2022)..

Zhu,Y.etal.Metasurfacesdesignedbyabidirectionaldeepneuralnetworkanditerativealgorithmforgeneratingquantitativefielddistributions.Light Adv. Manuf.4,9(2023)..

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰