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Conferences > Freeform > 2021 > JW2D > JW2D.4

Deep Learning for Engineering Optical Scattering from Plasmonic Nanostructures

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

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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.

© 2021 The Author(s)

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