Hyperspectral imaging of microwave metasurfaces with deeply subwavelength resolution

Harry Penketh (), Cameron P. Gallagher, Michal Mrnka, Christopher R. Lawrence, David B. Phillips, Ian R. Hooper and Euan Hendry
Additional contact information
Harry Penketh: University of Exeter
Cameron P. Gallagher: University of Exeter
Michal Mrnka: University of Exeter
Christopher R. Lawrence: QinetiQ
David B. Phillips: University of Exeter
Ian R. Hooper: University of Exeter
Euan Hendry: University of Exeter

Nature Communications, 2025, vol. 16, issue 1, 1-8

Abstract: Abstract Electromagnetic metasurfaces offer a route to exotic, customised material properties that are not found in nature. However, in practice these artificial materials often do not live up to the promise of their design, limited by a myriad of fabrication challenges and defects. Global responses, such as transmission or reflection spectra, cannot distinguish different defect types, while scanning point measurements are impractical for materials which can contain thousands of individual meta-atoms. In this work we introduce a diagnostic imaging approach applicable to metasurfaces across the microwave, millimeter wave and THz bands, which we demonstrate with a microwave single-pixel camera. Using a near-field photomodulator, our approach can discern the resonance frequencies of individual meta-atoms in a complex microwave metasurface over large areas (80 x 80 mm), with spatial resolution far below the microwave wavelength (λ) and with capabilities beyond λ/600 at 15 GHz. We demonstrate high throughput visualisation of inhomogeneous broadening across various samples, while resolving near-field distributions of deeply subwavelength meta-atoms, and gaining valuable insight into the operational limitations of real-world metasurfaces.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-59814-y Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59814-y

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-59814-y

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().