论文信息 - Inverse design of graphene metamaterial based on machine learning and evolutionary algorithms

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

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.

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