Plasmonic Metamaterial Absorbers Design Based on XGBoost and LightGBM Algorithms

被引：2

作者：

Gu, Leilei ^{[1
]}

Xie, Shusheng ^{[1
]}

Zhang, Ying ^{[1
]}

Huang, Yule ^{[1
]}

He, Yaojun ^{[1
]}

Liu, Hongzhan ^{[1
]}

Wei, Zhongchao ^{[1
]}

Guo, Jianping ^{[1
]}

机构：

[1] South China Normal Univ, Sch Informat & Optoelect Sci & Engn, Guangdong Prov Key Lab Nanophoton Funct Mat & Dev, Guangzhou 510006, Peoples R China

来源：

PLASMONICS | 2022年 / 17卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Metamaterials; Inverse design; LightGBM; XGBoost; Reflection value; ABSOLUTE ERROR MAE; METALENS; RMSE;

D O I：

10.1007/s11468-022-01697-6

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

The emergence of metamaterials has brought a revolutionary way to manipulate the behavior of light on the nanoscale. However, there are still many problems in design process, such as time-consuming and many-to-one mapping. Here, we demonstrate the forward and inverse design of plasmonic metamaterial absorbers based on Light gradient boosting machine (LightGBM) and Extreme Gradient Boosting (XGBoost). The inverse framework can use the input reflection value to design the metamaterial parameter structure. The experimental results show that XGBoost has better performance in forward and inverse design (Forward-R-2: 0.956; Inverse-R-2: 0.967). The framework is suitable for designing metamaterials on demand, and it can be used in zoom imaging, metamaterial absorbers, metamaterial filters, and other fields.

引用

页码：2037 / 2047

页数：11

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