On-demand design based on deep learning and phase manipulation of all-silicon terahertz chiral metasurfaces

On-demand design based on deep learning and phase manipulation of all-silicon terahertz chiral metasurfaces

Chiral metasurfaces have been widely used in sensing, imaging and other fields because they can manipulate light through the efficient circular dichroism (CD). However, its on-demand design is still a very challenging task. In this work, we propose an on-demand multiple reverse design based on deep...

Full description

Bibliographic Details
Main Authors: Zheyu Hou, Chenglong Zheng, Jie Li, Pengyu Zhang, Suozai Li, Shipu Zheng, Jian Shen, Jianquan Yao, Chaoyang Li
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Results in Physics
Subjects:
Chiral metasurfaces
Terahertz
Deep learning
Reverse design
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379722006386

Internet

http://www.sciencedirect.com/science/article/pii/S2211379722006386

Similar Items