Deep Learning for the Inverse Design of Mid-Infrared Graphene Plasmons
Deep Learning for the Inverse Design of Mid-Infrared Graphene Plasmons
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Publisher
MDPI AG
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Language
English
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MDPI AG
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Contents
We theoretically investigate the plasmonic properties of mid-infrared graphene-based metamaterials and apply deep learning of a neural network for the inverse design. These artificial structures have square periodic arrays of graphene plasmonic resonators deposited on dielectric thin films. Optical spectra vary significantly with changes in structu...
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Deep Learning for the Inverse Design of Mid-Infrared Graphene Plasmons
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TN_cdi_doaj_primary_oai_doaj_org_article_5188c0a7025141c1b628e335633485fa
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5188c0a7025141c1b628e335633485fa
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ISSN
2073-4352
E-ISSN
2073-4352
DOI
10.3390/cryst10020125
