Deep learning for engineering optical scattering from plasmonic nanostructures

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OriginalspracheEnglisch
Titel des SammelwerksFreeform Optics, Freeform 2021
Herausgeber (Verlag)OSA - The Optical Society
ISBN (elektronisch)9781557528209
PublikationsstatusVeröffentlicht - 2021
VeranstaltungFreeform Optics, Freeform 2021 - Part of OSA Optical Design and Fabrication 2021 - Virtual, Online, USA / Vereinigte Staaten
Dauer: 27 Juni 20211 Juli 2021

Publikationsreihe

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.

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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).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-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, USA / Vereinigte Staaten, 27 Juni 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 Artikel 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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