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Deep Learning for the Inverse Design of Mid-Infrared Graphene Plasmons

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...

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Bibliographic Details
Main Authors: Phan, Anh D., Nguyen, Cuong V., Pham, T. Linh, Tran, V. Huynh, Vu, D. Lam, Le, Anh-Tuan, Wakabayashi, Katsunori
Format: Article
Language:English
Published: MDPI 2020
Subjects:
graphene
metamaterials
deep learning
inverse design
plasmonics
Online Access:https://dlib.phenikaa-uni.edu.vn/handle/PNK/403
https://doi.org/10.3390/cryst10020125
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https://dlib.phenikaa-uni.edu.vn/handle/PNK/403
https://doi.org/10.3390/cryst10020125

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