IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v639y2025i8053d10.1038_s41586-024-08550-2.html
   My bibliography  Save this article

Spectroscopy of the fractal Hofstadter energy spectrum

Author

Listed:
  • Kevin P. Nuckolls

    (Princeton University
    Princeton University
    Massachusetts Institute of Technology)

  • Michael G. Scheer

    (Princeton University)

  • Dillon Wong

    (Princeton University
    Princeton University)

  • Myungchul Oh

    (Princeton University
    Princeton University
    Pohang University of Science and Technology (POSTECH))

  • Ryan L. Lee

    (Princeton University
    Princeton University)

  • Jonah Herzog-Arbeitman

    (Princeton University)

  • Kenji Watanabe

    (National Institute for Materials Science)

  • Takashi Taniguchi

    (National Institute for Materials Science)

  • Biao Lian

    (Princeton University)

  • Ali Yazdani

    (Princeton University
    Princeton University)

Abstract

Hofstadter’s butterfly, the predicted energy spectrum for non-interacting electrons confined to a two-dimensional lattice in a magnetic field, is one of the most remarkable fractal structures in nature1. At rational ratios of magnetic flux quanta per lattice unit cell, this spectrum shows self-similar distributions of energy levels that reflect its recursive construction. For most materials, Hofstadter’s butterfly is predicted under experimental conditions that are unachievable using laboratory-scale magnetic fields1–3. More recently, electrical transport studies have provided evidence for Hofstadter’s butterfly in materials engineered to have artificially large lattice constants4–6, such as those with moiré superlattices7–10. Yet, so far, direct spectroscopy of the fractal energy spectrum predicted by Hofstadter nearly 50 years ago has remained out of reach. Here we use high-resolution scanning tunnelling microscopy/spectroscopy (STM/STS) to investigate the flat electronic bands in twisted bilayer graphene (TBG) near the predicted second magic angle11,12, an ideal setting for spectroscopic studies of Hofstadter’s spectrum. Our study shows the fractionalization of flat moiré bands into discrete Hofstadter subbands and discerns experimental signatures of self-similarity of this spectrum. Moreover, our measurements uncover a spectrum that evolves dynamically with electron density, showing phenomena beyond that of Hofstadter’s original model owing to the combined effects of strong correlations, Coulomb interactions and the quantum degeneracy of electrons in TBG.

Suggested Citation

  • Kevin P. Nuckolls & Michael G. Scheer & Dillon Wong & Myungchul Oh & Ryan L. Lee & Jonah Herzog-Arbeitman & Kenji Watanabe & Takashi Taniguchi & Biao Lian & Ali Yazdani, 2025. "Spectroscopy of the fractal Hofstadter energy spectrum," Nature, Nature, vol. 639(8053), pages 60-66, March.
  • Handle: RePEc:nat:nature:v:639:y:2025:i:8053:d:10.1038_s41586-024-08550-2
    DOI: 10.1038/s41586-024-08550-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-024-08550-2
    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/s41586-024-08550-2?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:639:y:2025:i:8053:d:10.1038_s41586-024-08550-2. 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.