2023
DOI: 10.3390/mi14101925
|View full text |Cite
|
Sign up to set email alerts
|

Chiral Metasurface Multifocal Lens in the Terahertz Band Based on Deep Learning

Jingjing Wang,
Sixue Chen,
Yihang Qiu
et al.

Abstract: Chiral metasurfaces have garnered significant interest as an emerging field of metamaterials, primarily due to their exceptional capability to manipulate phase distributions at interfaces. However, the on-demand design of chiral metasurface structures remains a challenging task. To address this challenge, this paper introduces a deep learning-based network model for rapid calculation of chiral metasurface structure parameters. The network achieves a mean absolute error (MAE) of 0.025 and enables the design of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 46 publications
0
2
0
Order By: Relevance
“…Other examples of recent DNN-based applications in optic metalenses have encompassed a diverse range and include the development of chiral metasurface multifocal lens in the Terahertz band and miniaturized wide-angle fisheye lens among other applications. , Wang et al have designed bifocal metalens that can independently focus and its bidirectional circular polarized light. In the traditional sense, simulations for meta-lens design have a high computational cost thus, the group suggested a DL-forward genetic algorithm to design the metalens parameters efficiently.…”
Section: Emerging Applications Of Ai-based Optic Metamaterials Designmentioning
confidence: 99%
See 1 more Smart Citation
“…Other examples of recent DNN-based applications in optic metalenses have encompassed a diverse range and include the development of chiral metasurface multifocal lens in the Terahertz band and miniaturized wide-angle fisheye lens among other applications. , Wang et al have designed bifocal metalens that can independently focus and its bidirectional circular polarized light. In the traditional sense, simulations for meta-lens design have a high computational cost thus, the group suggested a DL-forward genetic algorithm to design the metalens parameters efficiently.…”
Section: Emerging Applications Of Ai-based Optic Metamaterials Designmentioning
confidence: 99%
“…Other examples of recent DNN-based applications in optic metalenses have encompassed a diverse range and include the development of chiral metasurface multifocal lens in the Terahertz band 140 and miniaturized wide-angle fisheye lens 141 among other applications. 142 , 143 Wang et al have designed bifocal metalens that can independently focus and its bidirectional circular polarized light.…”
Section: Emerging Applications Of Ai-based Optic Metamaterials Designmentioning
confidence: 99%