Smart and Rapid Design of Nanophotonic Structures by an Adaptive and Regularized Deep Neural Network

The design of nanophotonic structures based on deep learning is emerging rapidly in the research community. Design methods using Deep Neural Networks (DNN) are outperforming conventional physics-based simulations performed iteratively by human experts. Here, a self-adaptive and regularized DNN based...

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Detalles Bibliográficos
Autores principales: Li, Renjie, Gu, Xiaozhe, Shen, Yuanwen, Li, Ke, Li, Zhen, Zhang, Zhaoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030763/
https://www.ncbi.nlm.nih.gov/pubmed/35458079
http://dx.doi.org/10.3390/nano12081372

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030763/
https://www.ncbi.nlm.nih.gov/pubmed/35458079
http://dx.doi.org/10.3390/nano12081372

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