Home
Scholarly Works
Application of deep learning to direct and inverse...
Conference

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.

Authors

Baxter J; Lesina AC; Guay JM; Weck A; Berini P; Ramunno L

Volume

Part F128-CLEO_QELS 2019

Publication Date

January 1, 2019

DOI

10.1364/CLEO-QELS.2019.FTu4C.4

Conference proceedings

Optics Infobase Conference Papers
View published work (Non-McMaster Users)

Contact the Experts team