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Showing 1–8 of 8 results
Advanced filters: Author: Hadar Steinberg Clear advanced filters

  • In superconducting thin films of a few atomic layers, surface and bulk orders may compete. Here, the authors measure how the Pearl length, which characterizes the distribution of magnetic field in vortices, varies with thickness in NbSe2, showing that surface superconductivity dominates at low thickness.

    Peer review information: Nature Communications thanks Martino Poggio, and the other, anonymous, reviewers for their contribution to the peer review of this work. A peer review file is available.

    • Nofar Fridman
    • Tomer Daniel Feld
    • Yonathan Anahory
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-7

  • Ideal tunnel junctions require high-quality, defect-free insulating barriers. Here, the authors demonstrate that van der Waals tunnel barriers atop bulk and ultrathin superconducting NbSe2 sustain a stable tunneling current and allow mapping of the spectral evolution of layered superconductors.

    • T. Dvir
    • F. Massee
    • H. Steinberg
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-6

  • Here, the authors develop a spectroscopic technique whereby individual defects in an ultrathin hBN dielectric, placed in proximity to graphene, act as quantum dots. Dot-assisted tunneling is highly sensitive to the nearby graphene excitation spectrum, and allows probing of energy splitting in the excited Landau levels.

    • Itai Keren
    • Tom Dvir
    • Hadar Steinberg
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-9

  • Luttinger-liquid theory describes interacting electrons in one dimension, so long as their energies are linear as a function of momentum. When the energies become nonlinear, particles and holes behave differently, with particles able to relax when injected into a quantum wire.

    • Gilad Barak
    • Hadar Steinberg
    • Amir Yacoby
    Research
    Nature Physics
    Volume: 6, P: 489-493

  • Leveraging the availability of nationwide electronic health records from over 500,000 pregnancies in Israel, a machine-learning approach offers an alternative means of predicting gestational diabetes at high accuracy in the early stages of pregnancy.

    • Nitzan Shalom Artzi
    • Smadar Shilo
    • Eran Segal
    Research
    Nature Medicine
    Volume: 26, P: 71-76