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Finding the optical properties of plasmonic structures by image processing using a combination of convolutional neural networks and recurrent neural networks
Image processing can be used to extract meaningful optical results from images. Here, from images of plasmonic structures, we combined convolutional neural networks with recurrent neural networks to extract the absorption spectra of structures. To provide the data required for the model, we performe...
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| Veröffentlicht in: | Microsyst Nanoeng |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6572799/ https://ncbi.nlm.nih.gov/pubmed/31240107 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41378-019-0069-y |
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