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Comparison of Different Neural Network Architectures for Plasmonic Inverse Design
[Image: see text] The merge between nanophotonics and a deep neural network has shown unprecedented capability of efficient forward modeling and accurate inverse design if an appropriate network architecture and training method are selected. Commonly, an iterative neural network and a tandem neural...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444196/ https://www.ncbi.nlm.nih.gov/pubmed/34549108 http://dx.doi.org/10.1021/acsomega.1c02165 |