Deep learning for engineering optical scattering from plasmonic nanostructures

authored by

Joshua Baxter, Julien Desautels, Antonio Calà Lesina, Pierre Berini, Lora Ramunno

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.

Organisation(s)

Institute of Transport and Automation Technology
Hannover Centre for Optical Technologies (HOT)

External Organisation(s)

University of Ottawa

Type

Conference contribution

Publication date

2021

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials, Mechanics of Materials

Electronic version(s)

https://doi.org/10.1364/FLATOPTICS.2021.JW2D.4 (Access: Closed)