IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v583y2020i7817d10.1038_s41586-020-2507-2.html
   My bibliography  Save this article

Imaging viscous flow of the Dirac fluid in graphene

Author

Listed:
  • Mark J. H. Ku

    (Harvard University
    University of Maryland
    Harvard-Smithsonian Center for Astrophysics
    University of Delaware)

  • Tony X. Zhou

    (Harvard University
    Harvard University)

  • Qing Li

    (Harvard University)

  • Young J. Shin

    (Harvard University
    Brookhaven National Laboratory)

  • Jing K. Shi

    (Harvard University)

  • Claire Burch

    (Harvard University)

  • Laurel E. Anderson

    (Harvard University)

  • Andrew T. Pierce

    (Harvard University)

  • Yonglong Xie

    (Harvard University
    Massachusetts Institute of Technology)

  • Assaf Hamo

    (Harvard University)

  • Uri Vool

    (Harvard University
    Harvard University)

  • Huiliang Zhang

    (Harvard University
    Harvard-Smithsonian Center for Astrophysics)

  • Francesco Casola

    (Harvard University
    Harvard-Smithsonian Center for Astrophysics)

  • Takashi Taniguchi

    (National Institute for Materials Science)

  • Kenji Watanabe

    (National Institute for Materials Science)

  • Michael M. Fogler

    (University of California, San Diego)

  • Philip Kim

    (Harvard University
    Harvard University)

  • Amir Yacoby

    (Harvard University
    Harvard University)

  • Ronald L. Walsworth

    (Harvard University
    University of Maryland
    Harvard-Smithsonian Center for Astrophysics
    Harvard University)

Abstract

The electron–hole plasma in charge-neutral graphene is predicted to realize a quantum critical system in which electrical transport features a universal hydrodynamic description, even at room temperature1,2. This quantum critical ‘Dirac fluid’ is expected to have a shear viscosity close to a minimum bound3,4, with an interparticle scattering rate saturating1 at the Planckian time, the shortest possible timescale for particles to relax. Although electrical transport measurements at finite carrier density are consistent with hydrodynamic electron flow in graphene5–8, a clear demonstration of viscous flow at the charge-neutrality point remains elusive. Here we directly image viscous Dirac fluid flow in graphene at room temperature by measuring the associated stray magnetic field. Nanoscale magnetic imaging is performed using quantum spin magnetometers realized with nitrogen vacancy centres in diamond. Scanning single-spin and wide-field magnetometry reveal a parabolic Poiseuille profile for electron flow in a high-mobility graphene channel near the charge-neutrality point, establishing the viscous transport of the Dirac fluid. This measurement is in contrast to the conventional uniform flow profile imaged in a metallic conductor and also in a low-mobility graphene channel. Via combined imaging and transport measurements, we obtain viscosity and scattering rates, and observe that these quantities are comparable to the universal values expected at quantum criticality. This finding establishes a nearly ideal electron fluid in charge-neutral, high-mobility graphene at room temperature4. Our results will enable the study of hydrodynamic transport in quantum critical fluids relevant to strongly correlated electrons in high-temperature superconductors9. This work also highlights the capability of quantum spin magnetometers to probe correlated electronic phenomena at the nanoscale.

Suggested Citation

  • Mark J. H. Ku & Tony X. Zhou & Qing Li & Young J. Shin & Jing K. Shi & Claire Burch & Laurel E. Anderson & Andrew T. Pierce & Yonglong Xie & Assaf Hamo & Uri Vool & Huiliang Zhang & Francesco Casola &, 2020. "Imaging viscous flow of the Dirac fluid in graphene," Nature, Nature, vol. 583(7817), pages 537-541, July.
  • Handle: RePEc:nat:nature:v:583:y:2020:i:7817:d:10.1038_s41586-020-2507-2
    DOI: 10.1038/s41586-020-2507-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-020-2507-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-020-2507-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:583:y:2020:i:7817:d:10.1038_s41586-020-2507-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.