The rise of intelligent adaptive metasurfaces
Abstract Modern-day data science, together with physical science, is reshaping the landscape of artificial electromagnetic media—metasurfaces—on a scale not seen before. Such interaction excels in computationally intensive tasks and real-world applications, such as inverse design, spectral analysis, autonomous devices, and neuromorphic computing. Here, we foreground the rise of intelligent adaptive metasurfaces that are renovating our understanding and utilization of metasurfaces, moving away from human-based control toward automatic control for real-time updates of application requirements. To make the most of these emerging opportunities, we also comment on the perspectives of intelligent adaptive metasurfaces.
Authors
- Chao Qian (ORCID: https://orcid.org/0000-0002-3543-7507)
Institutions
- Zhejiang Normal University (CN)
- Zhejiang University of Science and Technology (CN)
- Jinhua Academy of Agricultural Sciences (CN)
- Communication University of Zhejiang (CN)
Publication Details
- Journal
- Journal of Optics
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1088/2040-8986/ad97c9
- Citations
- 7
- Primary Topic
- Opportunistic and Delay-Tolerant Networks
- Type
- article
- Field-Weighted Citation Impact
- 2.44
Funders
- National Natural Science Foundation of China