Plasmonic colours predicted by deep learning
Author:
Funder
Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada
Canada Research Chairs
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-019-44522-7.pdf
Reference24 articles.
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3. Rivenson, Y. et al. Deep learning microscopy. Opt. 4, 1437–1443, https://doi.org/10.1364/OPTICA.4.001437 (2017).
4. Ma, W., Cheng, F. & Liu, Y. Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials. ACS Nano 12, 6326–6334, https://doi.org/10.1021/acsnano.8b03569 (2018).
5. Malkiel, I. et al. Plasmonic nanostructure design and characterization via Deep Learning. Light. Sci. & Appl. 7, 60, https://doi.org/10.1038/s41377-018-0060-7 (2018).
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