Deep neural network-based automatic metasurface design with a wide frequency range

Beyond the scope of conventional metasurface, which necessitates plenty of computational resources and time, an inverse design approach using machine learning algorithms promises an effective way for metasurface design. In this paper, benefiting from Deep Neural Network (DNN), an inverse design proc...

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Detalles Bibliográficos
Autores principales: Ghorbani, Fardin, Beyraghi, Sina, Shabanpour, Javad, Oraizi, Homayoon, Soleimani, Hossein, Soleimani, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8007700/
https://www.ncbi.nlm.nih.gov/pubmed/33782525
http://dx.doi.org/10.1038/s41598-021-86588-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8007700/
https://www.ncbi.nlm.nih.gov/pubmed/33782525
http://dx.doi.org/10.1038/s41598-021-86588-2

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