Application of deep learning to direct and inverse problems in plasmonic coloring

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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  • University of Ottawa
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Details

OriginalspracheEnglisch
Titel des Sammelwerks2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781943580576
PublikationsstatusVeröffentlicht - Mai 2019
Extern publiziertJa
Veranstaltung2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, USA / Vereinigte Staaten
Dauer: 5 Mai 201910 Mai 2019

Publikationsreihe

NameConference on Lasers and Electro-Optics

Abstract

Laser pulses can color noble metals by inducing nanoparticles on their surface. We apply deep learning to solve the direct and inverse problems which link nanoparticle distributions and laser parameters to the produced colour.

ASJC Scopus Sachgebiete

Zitieren

Application of deep learning to direct and inverse problems in plasmonic coloring. / Baxter, Josh; Lesina, Antonino Cala; Guay, Jean Michel et al.
2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8750346 (Conference on Lasers and Electro-Optics).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Baxter, J, Lesina, AC, Guay, JM, Weck, A, Berini, P & Ramunno, L 2019, Application of deep learning to direct and inverse problems in plasmonic coloring. in 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings., 8750346, Conference on Lasers and Electro-Optics, Institute of Electrical and Electronics Engineers Inc., 2019 Conference on Lasers and Electro-Optics, CLEO 2019, San Jose, USA / Vereinigte Staaten, 5 Mai 2019. https://doi.org/10.1364/cleo_qels.2019.ftu4c.4
Baxter, J., Lesina, A. C., Guay, J. M., Weck, A., Berini, P., & Ramunno, L. (2019). Application of deep learning to direct and inverse problems in plasmonic coloring. In 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings Artikel 8750346 (Conference on Lasers and Electro-Optics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1364/cleo_qels.2019.ftu4c.4
Baxter J, Lesina AC, Guay JM, Weck A, Berini P, Ramunno L. Application of deep learning to direct and inverse problems in plasmonic coloring. in 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8750346. (Conference on Lasers and Electro-Optics). doi: 10.1364/cleo_qels.2019.ftu4c.4
Baxter, Josh ; Lesina, Antonino Cala ; Guay, Jean Michel et al. / Application of deep learning to direct and inverse problems in plasmonic coloring. 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (Conference on Lasers and Electro-Optics).
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title = "Application of deep learning to direct and inverse problems in plasmonic coloring",
abstract = "Laser pulses can color noble metals by inducing nanoparticles on their surface. We apply deep learning to solve the direct and inverse problems which link nanoparticle distributions and laser parameters to the produced colour.",
author = "Josh Baxter and Lesina, {Antonino Cala} and Guay, {Jean Michel} and Arnaud Weck and Pierre Berini and Lora Ramunno",
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AU - Lesina, Antonino Cala

AU - Guay, Jean Michel

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AU - Berini, Pierre

AU - Ramunno, Lora

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