Metamaterials Design Method based on Deep learning Database

Journal of Physics: Conference Series - Tập 2185 Số 1 - Trang 012023 - 2022
Xiaoshu Zhou1, Qide Xiao1,2, Han Wang1,2,3
1Beijing Institute of Technology, Zhuhai, China
2City University of Macau, Macau, China
3Zhuhai Institute of Advanced Technology Chinese Academy of Sciences, China

Tóm tắt

Abstract In recent years, deep learning has risen to the forefront of many fields, overcoming challenges previously considered difficult to solve by traditional methods. In the field of metamaterials, there are significant challenges in the design and optimization of metamaterials, including the need for a large number of labeled data sets and one-to-many mapping when solving inverse problems. Here, we will use deep learning methods to build a metamaterial database to achieve rapid design and analysis methods of metamaterials. These technologies have significantly improved the feasibility of more complex metamaterial designs and provided new metamaterial design and analysis ideas.

Từ khóa


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