Programmable surface plasmonic neural networks for microwave detection and processing
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It is possible to integrate nonlinear components, e.g., adjustable varactors, into the meta-atom to replicate nonlinear activation functions in traditional neural networks, thus implementing various mathematical functions and machine learning tasks.
“In addition, it is possible to integrate nonlinear components, e.g., adjustable varactors, into the meta-atom to replicate the nonlinear activation functions in traditional neural networks, thus implementing various mathematical functions and machine learning tasks [117].”
From Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications (2026) · cites this paper as [117]
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A programmable diffractive deep neural network based on a digital-coding metasurface array
Liu, C., Ma, Q., Luo, Z. J., Hong, Q. R., Xiao, Q., Zhang, H. C., Miao, L., Yu, W. M., Cheng, Q., Li, L., et al. (2022) · Nature Electronics · doi:10.1038/s41928-022-00719-9 · Cited by 633 · see citing works
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Huang, H.-M., Wang, Z., Wang, T., Xiao, Y., & Guo, X. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.202000149 · Cited by 82 · see citing works
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Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications
An, J., Debbah, M., Cui, T. J., Chen, Z. N., & Yuen, C. (2026) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2025.3571069 · Cited by 72 · see citing works
“In addition, it is possible to integrate nonlinear components, e.g., adjustable varactors, into the meta-atom to replicate the nonlinear activation functions in traditional neural networks, thus implementing various mathematical functions and ML tasks [117].”
Self-citationEmerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications
An, J., Debbah, M., Cui, T. J., Chen, Z. N., & Yuen, C. (2024) · arXiv · Cited by 72 · see citing works
“In addition, it is possible to integrate nonlinear components, e.g., adjustable varactors, into the meta-atom to replicate the nonlinear activation functions in traditional neural networks, thus implementing various mathematical functions and ML tasks [117].”
Self-citation
- Authors
- Gao, X., Ma, Q., Gu, Z., Cui, W. Y., Liu, C., Zhang, J., & Cui, T. J.
- Affiliations
- City University of Hong Kong (HK)
- State Key Laboratory of Millimeter Waves (CN)
- Corresponding author
- Ma, Qian
- Cui, Tie Jun
- Venue
- Nature Electronics
- Published
- 2023-04-20
- Volume
- 6
- Issue
- 4
- Pages
- 319-328
- ISSN
- 2520-1131 (ISSN-L)
- OpenAlex
- W4366481776
- Cited by
- 106
- References
- 7
- Citations by year
- 2026: 27 · 2025: 31 · 2024: 36 · 2023: 12
- FWCI
- 8.38
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Nature Electronics (publishedVersion)
- Research Square (acceptedVersion, cc-by)
- Funders
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province (BK20212002)
- Higher Education Discipline Innovation Project (BK20212002, 111‐2‐05, 2017YFA0700201, 111-2, 2017YFA0700203, 2017YFA0700202)
- National Key Research and Development Program of China (2017YFA0700201, BK20212002, 2017YFA0700203, 111-2-05, 2017YFA0700202)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Plasmonic and Surface Plasmon Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Metamaterials and Metasurfaces Applications
- Keywords
- spoof surface plasmon polaritons, microwave detection, microwave signal processing, varactor tuning, vector classification, handwritten digit recognition, image decoding, wireless communication, terahertz waveguides
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