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  • International Photonics and OptoElectronics Meeting 2019 (OFDA, OEDI, ISST, PE, LST, TSA)
  • OSA Technical Digest (Optica Publishing Group, 2019),
  • paper OW2B.5
  • https://doi.org/10.1364/OEDI.2019.OW2B.5

Inverse design of graphene metamaterial based on machine learning and evolutionary algorithms

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Abstract

We propose an intelligent approach to achieve inverse design by different regression algorithms for the double-layers graphene metamaterial (GM) structure. Compared with the ANNs, simple regression algorithms have advantage in accuracy and efficiency.

© 2019 The Author(s)

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