Deep Neural Network Inverse Design of Integrated Photonic Power Splitters

Predicting physical response of an artificially structured material is of particular interest for scientific and engineering applications. Here we use deep learning to predict optical response of artificially engineered nanophotonic devices. In addition to predicting forward approximation of transmi...

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Detalles Bibliográficos
Autores principales: Tahersima, Mohammad H., Kojima, Keisuke, Koike-Akino, Toshiaki, Jha, Devesh, Wang, Bingnan, Lin, Chungwei, Parsons, Kieran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6361971/
https://www.ncbi.nlm.nih.gov/pubmed/30718661
http://dx.doi.org/10.1038/s41598-018-37952-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6361971/
https://www.ncbi.nlm.nih.gov/pubmed/30718661
http://dx.doi.org/10.1038/s41598-018-37952-2

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