Deep Learning Designs of Anisotropic Metasurfaces in Ultrawideband Based on Generative Adversarial Networks

Deep Learning Designs of Anisotropic Metasurfaces in Ultrawideband Based on Generative Adversarial Networks

Metasurfaces have been developed as a promising approach for manipulating electromagnetic waves. Recently, deep learning algorithms have been introduced to design metasurfaces, but the network can only output one solution for each desired input and suffers from nonunique issue. To overcome the afore...

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Bibliographic Details
Main Authors: Hai Peng Wang, Yun Bo Li, He Li, Shu Yue Dong, Che Liu, Shi Jin, Tie Jun Cui
Format: Article
Language:English
Published: Wiley 2020-09-01
Series:Advanced Intelligent Systems
Subjects:
anisotropic reflective phase response
generative adversarial networks
inverse designs
metasurfaces
ultrawideband
Online Access:https://doi.org/10.1002/aisy.202000068

Internet

https://doi.org/10.1002/aisy.202000068

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