PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 23, 2025Photonics2 citationsOpen Access

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

View Full Paper
MLMiao LvHFHuizhen FengYJYongxing Jin

Key Points

  • Integration of deep learning with metasurfaces significantly enhances holographic imaging quality.
  • Neural networks can manipulate light waves to form precise three-dimensional images.
  • Despite increasing articles on the topic, comprehensive reviews on deep learning and metasurface technology are still rare.
  • The review explores various neural network types and their application in metasurface design with practical implications.

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Lv et al. (2025) studied this question.

synapsesocial.com/papers/68d4759931b076d99fa6db30https://doi.org/10.3390/photonics12100947
Ask AI
Helpful
Bookmark
Share
View Full Paper