Machine Learning Applications in Plasmonics

authored by

J. Baxter, A. Cala Lesina, J. M. Guay, L. Ramunno

Abstract

The abundance of acquired data from experiments and simulations makes the field of photonics a perfect environment for machine learning applications. Here we will apply Deep Neural Networks (DNNs) to predict the colour of nano-structured surfaces using either the nanoparticle geometric parameters, or laser parameters used to develop the nano-structured surfaces.

External Organisation(s)

University of Ottawa

Type

Conference contribution

Publication date

08.2018

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials

Electronic version(s)

https://doi.org/10.1109/pn.2018.8438845 (Access: Closed)