Deep learning for engineering optical scattering from plasmonic nanostructures

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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  • University of Ottawa
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Details

Original languageEnglish
Title of host publicationFreeform Optics, Freeform 2021
PublisherOSA - The Optical Society
ISBN (electronic)9781557528209
Publication statusPublished - 2021
EventFreeform Optics, Freeform 2021 - Part of OSA Optical Design and Fabrication 2021 - Virtual, Online, United States
Duration: 27 Jun 20211 Jul 2021

Publication series

NameOptics InfoBase Conference Papers

Abstract

Deep learning is used for predicting scattered radiation patterns from arbitrarily-shaped individual plasmonic nanoparticles, to predict scattered colours produced by plasmonic metasurfaces, and for the inverse problem – designing plasmonic metasurfaces to produce desired scattering properties.

ASJC Scopus subject areas

Cite this

Deep learning for engineering optical scattering from plasmonic nanostructures. / Baxter, Joshua; Desautels, Julien; Lesina, Antonio Calà et al.
Freeform Optics, Freeform 2021. OSA - The Optical Society, 2021. JW2D.4 (Optics InfoBase Conference Papers).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Baxter, J, Desautels, J, Lesina, AC, Berini, P & Ramunno, L 2021, Deep learning for engineering optical scattering from plasmonic nanostructures. in Freeform Optics, Freeform 2021., JW2D.4, Optics InfoBase Conference Papers, OSA - The Optical Society, Freeform Optics, Freeform 2021 - Part of OSA Optical Design and Fabrication 2021, Virtual, Online, United States, 27 Jun 2021. https://doi.org/10.1364/FLATOPTICS.2021.JW2D.4
Baxter, J., Desautels, J., Lesina, A. C., Berini, P., & Ramunno, L. (2021). Deep learning for engineering optical scattering from plasmonic nanostructures. In Freeform Optics, Freeform 2021 Article JW2D.4 (Optics InfoBase Conference Papers). OSA - The Optical Society. https://doi.org/10.1364/FLATOPTICS.2021.JW2D.4
Baxter J, Desautels J, Lesina AC, Berini P, Ramunno L. Deep learning for engineering optical scattering from plasmonic nanostructures. In Freeform Optics, Freeform 2021. OSA - The Optical Society. 2021. JW2D.4. (Optics InfoBase Conference Papers). doi: 10.1364/FLATOPTICS.2021.JW2D.4
Baxter, Joshua ; Desautels, Julien ; Lesina, Antonio Calà et al. / Deep learning for engineering optical scattering from plasmonic nanostructures. Freeform Optics, Freeform 2021. OSA - The Optical Society, 2021. (Optics InfoBase Conference Papers).
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title = "Deep learning for engineering optical scattering from plasmonic nanostructures",
abstract = "Deep learning is used for predicting scattered radiation patterns from arbitrarily-shaped individual plasmonic nanoparticles, to predict scattered colours produced by plasmonic metasurfaces, and for the inverse problem – designing plasmonic metasurfaces to produce desired scattering properties.",
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