基于机器学习和进化算法的石墨烯超材料逆设计

International Photonics and OptoElectronics Meeting 2019 (OFDA, OEDI, ISST, PE, LST, TSA) Pub Date : 2019-11-11 DOI:10.1364/oedi.2019.ow2b.5

Qi Liu, Tian Zhang, Yihang Dan, Shuai Yu, Jian Dai, Kun Xu

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引用次数: 0

摘要

本文提出了一种利用不同回归算法实现双层石墨烯超材料(GM)结构逆设计的智能方法。与人工神经网络相比，简单回归算法在精度和效率上都有优势。

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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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International Photonics and OptoElectronics Meeting 2019 (OFDA, OEDI, ISST, PE, LST, TSA)

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