EconPapers    
Economics at your fingertips  
 

Very-large-scale reconfigurable intelligent surfaces for dynamic control of terahertz and millimeter waves

Yury Malevich, M. Said Ergoktas, Gokhan Bakan, Pietro Steiner and Coskun Kocabas ()
Additional contact information
Yury Malevich: University of Manchester
M. Said Ergoktas: University of Manchester
Gokhan Bakan: University of Manchester
Pietro Steiner: University of Manchester
Coskun Kocabas: University of Manchester

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

Abstract: Abstract Unlocking the potential of terahertz (THz) and millimeter (mm) waves for next generation communications and imaging applications requires reconfigurable intelligent surfaces (RIS) with programmable elements that can manipulate the waves in real-time. Realization of this technology has been hindered by the lack of efficient THz electro-optical materials and scalable THz semiconductor platform. Here, by merging graphene-based THz modulators and the thin-film transistor (TFT) technology, we demonstrate very-large-scale (>300000 pixels) spatial light modulator with individually addressable subwavelength pixels. We demonstrate electronically programmable reflection and transmission patterns of THz light over a large area with unprecedent levels of uniformity and reproducibility. To highlight the potential of these devices, we demonstrate a single pixel mm-wave camera capable of imaging metallic objects. Furthermore, we demonstrate dynamic beam steering with reconfigurable direction pattern. We anticipate that these results will provide realistic pathways to structure THz waves for applications in non-invasive THz imaging and next generation THz communications.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-58256-w 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_s41467-025-58256-w

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

DOI: 10.1038/s41467-025-58256-w

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 ().

 
Page updated 2025-04-02
Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-58256-w