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

authored by

Josh Baxter, Antonino Cala Lesina, Jean Michel Guay, Arnaud Weck, Pierre Berini, Lora Ramunno

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.

External Organisation(s)

University of Ottawa

Type

Conference contribution

Publication date

05.2019

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Spectroscopy, Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality, Management, Monitoring, Policy and Law, Electronic, Optical and Magnetic Materials, Radiology Nuclear Medicine and imaging, Instrumentation, Atomic and Molecular Physics, and Optics

Electronic version(s)

https://doi.org/10.1364/cleo_qels.2019.ftu4c.4 (Access: Closed)