Evidence map›Paper›PMID 41168453›Full record

ArticleNature nanotechnology2025

Electrically driven heterostructured far-infrared wire lasers with integrated graphene plasmons.

Alessandra Di Gaspare, Sara Ghayeb-Zamharir, Lianhe Li, Edmund H Linfield, Alexander G Davies, Jincan Zhang, Osman Balci, Andrea C Ferrari, Miriam S Vitiello

Abstract read
In one paragraph

Article in Nature nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alessandra Di GaspareNEST, CNR-NANO and Scuola Normale Superiore, Pisa, Italy.
Sara Ghayeb-ZamharirNEST, CNR-NANO and Scuola Normale Superiore, Pisa, Italy.
Lianhe LiSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0003-4998-7259
Edmund H LinfieldSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0001-6912-0535
Alexander G DaviesSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0002-1987-4846
Jincan ZhangCambridge Graphene Centre, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-7131-4491
Osman BalciCambridge Graphene Centre, University of Cambridge, Cambridge, UK.
Andrea C FerrariCambridge Graphene Centre, University of Cambridge, Cambridge, UK.
Miriam S VitielloNEST, CNR-NANO and Scuola Normale Superiore, Pisa, Italy. miriam.vitiello@sns.it.ORCID http://orcid.org/0000-0002-4914-0421

Funding

European Commission (EC) 944735)
6 · The paper itself

Abstract

Photonic technologies that exploit surface plasmons in graphene can offer groundbreaking opportunities for the development of compact and inexpensive active photonic devices, owing to the unique combination of tight field localization, giant optical nonlinearities and electrostatic gating tuning. Here we take advantage of this unique combination of properties to engineer frequency up-converted, electrically driven, single-mode photonic sources in the 9.0-10.5 THz range, with an emission frequency entirely tunable by design. We excite plasmons confined in a multilayer graphene micro-ribbon grating within a distributed-feedback terahertz quantum cascade laser that incorporates a top supercapacitor to tune the graphene Fermi energy, demonstrating third harmonic generation. Our monolithic, electrically driven laser works in the inaccessible Reststrahlen band of its core III-V semiconductor heterostructure and shows a peak power of ~9 μW, laying the foundation of a new generation of plasmonic, nonlinear light-emitting sources.

Identifiers

PMID41168453
PMCPMC12623234

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.