Neuro‐Driven Mechanically Programmable Metasurface for Electromagnetic Environment‐Illusion Generation

ABSTRACT Invisibility cloaks are evolving beyond passive scattering suppression toward the active control of radar perception. However, on‐demand generation of electromagnetic environment illusions remains challenging. Passive metasurfaces are fixed after fabrication, whereas electrically reconfigurable metasurfaces usually require dense bias networks and continuous electrical holding power, which complicate large‐aperture integration and introduce steady‐state energy consumption. Here, we report an X‐band neuro‐driven mechanically programmable metasurface (NMPM) that generates prescribed electromagnetic signatures through mechanically retained coding states. To map target scattering profiles onto implementable mechanical configurations, we develop a calibration‐assisted, physics‐guided neural programming framework. This framework compensates for coupling‐induced model mismatch and addresses the non‐unique inverse mapping from desired electromagnetic responses to discrete array states. The generated states are physically written by rotating reflective meta‐atoms optimized for linearly polarized illumination, allowing the programmed configuration to be retained without continuous electrical bias. Microwave experiments on two representative target environments demonstrate that the NMPM reproduces the dominant main‐lobe directions and overall sidelobe envelopes of the target scattering profiles. Quantitative measurements yield cosine similarities of 94%–98%, with consistent agreement under the tested incidence‐angle and frequency variations. These results demonstrate a mechanically retained and algorithmically calibrated route toward adaptive radar deception, electromagnetic scene engineering, and reconfigurable sensing architectures.

Authors

Institutions

Publication Details

Journal
Laser & Photonics Review
Published
2026-10-24
DOI
https://doi.org/10.1002/lpor.72123
Primary Topic
Advanced Antenna and Metasurface Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neuro‐Driven Mechanically Programmable Metasurface for Electromagnetic Environment‐Illusion Generation

Bin Zheng, Rongrong Zhu, Kai Ping Yu, Peixuan Zhu et al.
Laser & Photonics Review
Advanced Antenna and Metasurface Technologies
article

Neuro‐Driven Mechanically Programmable Metasurface for Electromagnetic Environment‐Illusion Generation

Bin Zheng, Rongrong Zhu, Kai Ping Yu, Peixuan Zhu, Jiwei Zhao, Hongsheng Chen, Shiqi Zhu, Huan Lu
article en

Abstract

ABSTRACT Invisibility cloaks are evolving beyond passive scattering suppression toward the active control of radar perception. However, on‐demand generation of electromagnetic environment illusions remains challenging. Passive metasurfaces are fixed after fabrication, whereas electrically reconfigurable metasurfaces usually require dense bias networks and continuous electrical holding power, which complicate large‐aperture integration and introduce steady‐state energy consumption. Here, we report an X‐band neuro‐driven mechanically programmable metasurface (NMPM) that generates prescribed electromagnetic signatures through mechanically retained coding states. To map target scattering profiles onto implementable mechanical configurations, we develop a calibration‐assisted, physics‐guided neural programming framework. This framework compensates for coupling‐induced model mismatch and addresses the non‐unique inverse mapping from desired electromagnetic responses to discrete array states. The generated states are physically written by rotating reflective meta‐atoms optimized for linearly polarized illumination, allowing the programmed configuration to be retained without continuous electrical bias. Microwave experiments on two representative target environments demonstrate that the NMPM reproduces the dominant main‐lobe directions and overall sidelobe envelopes of the target scattering profiles. Quantitative measurements yield cosine similarities of 94%–98%, with consistent agreement under the tested incidence‐angle and frequency variations. These results demonstrate a mechanically retained and algorithmically calibrated route toward adaptive radar deception, electromagnetic scene engineering, and reconfigurable sensing architectures.

Laser & Photonics Review
Hangzhou City University, Zhejiang University (CN), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 18%
Advanced Antenna and Metasurface Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon