Evidence map›Paper›PMID 40346098›Full record

ArticleNature communications2025

Light-induced quantum tunnelling current in graphene.

Mohamed Sennary, Jalil Shah, Mingrui Yuan, Ahmed Mahjoub, Vladimir Pervak, Nikolay V Golubev, Mohammed Th Hassan

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Ultrafast Nonlinear Dynamics of Indium Tin Oxide Nanocrystals Probed via Fieldoscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. 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

7 authors.

Mohamed SennaryDepartment of Physics, University of Arizona, Tucson, AZ, USA.
Jalil ShahDepartment of Physics, University of Arizona, Tucson, AZ, USA.
Mingrui YuanDepartment of Physics, University of Arizona, Tucson, AZ, USA.
Ahmed MahjoubJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
Vladimir PervakLudwig-Maximilians-Universität München, Am Coulombwall 1, Garching, Germany.ORCID http://orcid.org/0000-0001-5441-328X
Nikolay V GolubevDepartment of Physics, University of Arizona, Tucson, AZ, USA.
Mohammed Th HassanDepartment of Physics, University of Arizona, Tucson, AZ, USA. mohammedhassan@arizona.edu.ORCID http://orcid.org/0000-0002-9669-534X

Funding

Gordon and Betty Moore Foundation (Gordon E. and Betty I. Moore Foundation) GBMF 11476United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA9550-22-1-0494
6 · The paper itself

Abstract

In the last decade, advancements in attosecond spectroscopy have allowed researchers to study and manipulate electron dynamics in condensed matter via ultrafast light fields, offering the possibility to realise ultrafast optoelectronic devices. Here, we report the generation of light-induced quantum tunnelling currents in graphene phototransistors by ultrafast laser pulses in an ambient environment. This tunnelling effect provides access to an instantaneous field-driven current, demonstrating a current switching effect (ON and OFF) on a ~630 attosecond scale (~1.6 petahertz speed). We show the tunability of the tunnelling current and enhancement of the graphene phototransistor conductivity by controlling the density of the photoexcited charge carriers at different pump laser powers. We exploited this capability to demonstrate various logic gates. The reported approach under ambient conditions is suitable for the development of petahertz optical transistors, lightwave electronics, and optical quantum computers.

Identifiers

PMID40346098
PMCPMC12064659

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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.