Nanophotonic particle simulation and inverse design using artificial neural networks.

Abstract:

:We propose a method to use artificial neural networks to approximate light scattering by multilayer nanoparticles. We find that the network needs to be trained on only a small sampling of the data to approximate the simulation to high precision. Once the neural network is trained, it can simulate such optical processes orders of magnitude faster than conventional simulations. Furthermore, the trained neural network can be used to solve nanophotonic inverse design problems by using back propagation, where the gradient is analytical, not numerical.

journal_name

Sci Adv

journal_title

Science advances

authors

Peurifoy J,Shen Y,Jing L,Yang Y,Cano-Renteria F,DeLacy BG,Joannopoulos JD,Tegmark M,Soljačić M

doi

10.1126/sciadv.aar4206

subject

Has Abstract

pub_date

2018-06-01 00:00:00

pages

eaar4206

issue

6

issn

2375-2548

pii

aar4206

journal_volume

4

pub_type

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