Advances in Deep Learning-Driven Metasurface Design and Application in Holographic Imaging

Currently, the integration of deep learning technology with metasurface holographic imaging technology has propelled the development of optical imaging. Owing to the precise control of metasurfaces over the characteristics of light waves, holographic imaging technology can produce corresponding three-dimensional images after processing. Therefore, their integration enables the acquisition of high-quality images. The number of articles on metasurface design using neural network-based deep learning methods is increasing day by day; however, reviews on this topic remain scarce. This review introduces the development of neural networks and the relevant content on metasurface design using the four types of networks and the applications of deep learning-designed metasurface holographic imaging technology, thereby enhancing readers’ systematic understanding of such technologies.

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Publication Details

Journal
Photonics
Published
2025-09-23
DOI
https://doi.org/10.3390/photonics12100947
Citations
1
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.43
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Advances in Deep Learning-Driven Metasurface Design and Application in Holographic Imaging

Miao Lv, Ying Tian, Yongxing Jin, Huizhen Feng
1 citations
Photonics
Metamaterials and Metasurfaces Applications
0.43
article

Advances in Deep Learning-Driven Metasurface Design and Application in Holographic Imaging

Miao Lv, Ying Tian, Yongxing Jin, Huizhen Feng
article en
1 citations

Abstract

Currently, the integration of deep learning technology with metasurface holographic imaging technology has propelled the development of optical imaging. Owing to the precise control of metasurfaces over the characteristics of light waves, holographic imaging technology can produce corresponding three-dimensional images after processing. Therefore, their integration enables the acquisition of high-quality images. The number of articles on metasurface design using neural network-based deep learning methods is increasing day by day; however, reviews on this topic remain scarce. This review introduces the development of neural networks and the relevant content on metasurface design using the four types of networks and the applications of deep learning-designed metasurface holographic imaging technology, thereby enhancing readers’ systematic understanding of such technologies.

PhotonicsVol. 12(10)
China Jiliang University (CN)
Openalex Percentile: Top 36%
Metamaterials and Metasurfaces Applications
0.43
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