Nanophotonic particle simulation and inverse design using artificial neural networks

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 su...

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Detalles Bibliográficos
Autores principales: Peurifoy, John, Shen, Yichen, Jing, Li, Yang, Yi, Cano-Renteria, Fidel, DeLacy, Brendan G., Joannopoulos, John D., Tegmark, Max, Soljačić, Marin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2018
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983917/
https://www.ncbi.nlm.nih.gov/pubmed/29868640
http://dx.doi.org/10.1126/sciadv.aar4206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983917/
https://www.ncbi.nlm.nih.gov/pubmed/29868640
http://dx.doi.org/10.1126/sciadv.aar4206

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