Deep learning-enabled temporal sequencing of metasurface for rewritable and customizable electromagnetic illusions.

Han H, Zhao J, Lu H, Liu Y, Zheng B, Zhu R, Chen H

DOI: 10.1093/nsr/nwag263
Published: 2026 Jun
Container: National science review
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/nsr/nwag263,
  title = {Deep learning-enabled temporal sequencing of metasurface for rewritable and customizable electromagnetic illusions.},
  author = {Han H and Zhao J and Lu H and Liu Y and Zheng B and Zhu R and Chen H},
  year = {2026},
  journal = {National science review},
  doi = {10.1093/nsr/nwag263},
  url = {https://doi.org/10.1093/nsr/nwag263}
}

RIS

TY  - JOUR
TI  - Deep learning-enabled temporal sequencing of metasurface for rewritable and customizable electromagnetic illusions.
AU  - Han H
AU  - Zhao J
AU  - Lu H
AU  - Liu Y
AU  - Zheng B
AU  - Zhu R
AU  - Chen H
PY  - 2026
JO  - National science review
DO  - 10.1093/nsr/nwag263
UR  - https://doi.org/10.1093/nsr/nwag263
ER  -

APA

H, H., J, Z., H, L., Y, L., B, Z., R, Z., & H, C. (2026). Deep learning-enabled temporal sequencing of metasurface for rewritable and customizable electromagnetic illusions.. National science review. https://doi.org/10.1093/nsr/nwag263

Source records

pubmed · retrieved 2026-09-25T05:50:47.018Z