超材料
反向
反问题
计算机科学
可靠性(半导体)
集合(抽象数据类型)
航程(航空)
限制
算法
应用数学
数学优化
数学
光学
物理
数学分析
工程类
几何学
量子力学
机械工程
航空航天工程
功率(物理)
程序设计语言
作者
Fushan Lu,Jianwei Wang,Handong Li,Chanchan Qing,Ling Tao,Tianyu Xiang,Shengbo Hu
出处
期刊:Journal of physics
[IOP Publishing]
日期:2022-12-01
卷期号:2384 (1): 012045-012045
被引量:1
标识
DOI:10.1088/1742-6596/2384/1/012045
摘要
Abstract The physical limitations of metamaterial structures cannot be solved under the conditions of high time cost and complex algorithms in metamaterial inverse engineering in the past. This paper proposes limiting the value range of metamaterial structural parameters through a single structural parameter acquisition method (SSPAM) for the first time, which will meet the expected values of our predictions and obtain high-quality and effective data in a relatively short time. This is the first attempt to use this method to solve the problem of physical limitations in the inverse design of metamaterials effectively. Furthermore, it is a further improvement of inverse design, enhances the reliability of metamaterial inverse design once again, and realizes the idea of on-demand design. The mean squared error of our best deep learning model is 0.00075 and 0.00026 in the training set and validation set, respectively, and 3.0×10 −5 in the test set. We input three specific points of the EIT spectrum into our optimal model to predict the corresponding EIT structural parameters inversely, verified by numerical simulation calculation, and obtained satisfactory results. This work can provide new ideas and methods for the inverse design of metamaterials for other models.
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