Mapping the global design space of nanophotonic components using machine learning pattern recognition

Nanophotonics finds ever broadening applications requiring complex components with many parameters to be simultaneously designed. Recent methodologies employing optimization algorithms commonly focus on a single performance objective, provide isolated designs, and do not describe how the design para...

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Detalles Bibliográficos
Autores principales: Melati, Daniele, Grinberg, Yuri, Kamandar Dezfouli, Mohsen, Janz, Siegfried, Cheben, Pavel, Schmid, Jens H., Sánchez-Postigo, Alejandro, Xu, Dan-Xia
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/PMC6803653/
https://www.ncbi.nlm.nih.gov/pubmed/31636261
http://dx.doi.org/10.1038/s41467-019-12698-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803653/
https://www.ncbi.nlm.nih.gov/pubmed/31636261
http://dx.doi.org/10.1038/s41467-019-12698-1

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