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Dmitri N. Basov

· Higgins Professor of Physics

Columbia University · Joint Programs

Active 1993–2026

h-index86
Citations42.9k
Papers468147 last 5y
Funding$2.7M1 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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Research topics

  • Computer Science
  • Materials science
  • Physics
  • Nanotechnology
  • Artificial Intelligence
  • Optoelectronics
  • Chemistry
  • Optics
  • Composite material
  • Condensed matter physics

Selected publications

  • Moiré heterostructures as a condensed-matter quantum simulator

    Nature Physics · 2021 · 511 citations

    Twisted van der Waals heterostructures have latterly received prominent attention for their many remarkable experimental properties and the promise that they hold for realizing elusive states of matter in the laboratory. We propose that these systems can, in fact, be used as a robust quantum simulation platform that enables the study of strongly correlated physics and topology in quantum materials. Among the features that make these materials a versatile toolbox are the tunability of their prope…

  • Visualization of moiré superlattices

    Nature Nanotechnology · 2020 · 333 citations

  • A few-layer covalent network of fullerenes

    Nature · 2023 · 261 citations

  • Programmable hyperbolic polaritons in van der Waals semiconductors

    Science · 2021 · 100 citations

    Senior authorCorresponding

    and then visualized, by transient nanoimaging, the hyperbolic rays that traveled along conical trajectories inside of the crystal. We establish here the signatures of programmable hyperbolic electrodynamics and assess the role of quantum transitions of excitons within the Rydberg series in the observed polaritonic response.

  • Ultrahigh-Resolution, Label-Free Hyperlens Imaging in the Mid-IR

    Nano Letters · 2021 · 36 citations

    BN provides significant improvements in spatial resolution, experimentally resolving structures as small as 44 nm and those with sub 25 nm spacings at 6.76 μm free-space wavelength. We also present an image reconstruction algorithm that provides a structurally accurate, visual representation of the embedded objects from the complex hyperlens field. Further, we offer additional insights into optimizing hyperlens performance on the basis of material properties, with an eye toward realizing far-fie…

Recent grants

Frequent coauthors

  • James Hone

    Columbia University

    110 shared
  • M. M. Fogler

    University of California, San Diego

    109 shared
  • Andrew J. Millis

    Flatiron Health (United States)

    107 shared
  • Alexander McLeod

    University of Minnesota

    98 shared
  • Cory R. Dean

    Columbia University

    92 shared
  • F. Keilmann

    Ludwig-Maximilians-Universität München

    84 shared
  • Yinming Shao

    82 shared
  • M. M. Qazilbash

    Williams (United States)

    75 shared

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