Local, global, and nonlinear screening in twisted double-layer graphene

Chih Pin Lu, Mrtin Rodriguez-Vega, Guohong Li, Adina Luican-Mayer, Kenji Watanabe, Takashi Taniguchi, Enrico Rossi, Eva Y. Andrei

Research output: Contribution to journalArticlepeer-review

28 Scopus citations


One-atom-thick crystalline layers and their vertical heterostructures carry the promise of designer electronic materials that are unattainable by standard growth techniques. To realize their potential it is necessary to isolate them from environmental disturbances, in particular those introduced by the substrate. However, finding and characterizing suitable substrates, and minimizing the random potential fluctuations they introduce, has been a persistent challenge in this emerging field. Here we show that Landau-level (LL) spectroscopy offers the unique capability to quantify both the reduction of the quasiparticles' lifetime and the long-range inhomogeneity due to random potential fluctuations. Harnessing this technique together with direct scanning tunneling microscopy and numerical simulations we demonstrate that the insertion of a graphene buffer layer with a large twist angle is a very effective method to shield a 2D system from substrate interference that has the additional desirable property of preserving the electronic structure of the system under study. We further show that owing to its remarkable nonlinear screening capability a single graphene buffer layer provides better shielding than either increasing the distance to the substrate or doubling the carrier density and reduces the amplitude of the potential fluctuations in graphene to values even lower than the ones in AB-stacked bilayer graphene.

Original languageEnglish (US)
Pages (from-to)6623-6628
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Issue number24
StatePublished - Jun 14 2016

All Science Journal Classification (ASJC) codes

  • General


  • Graphene
  • Landau-level spectroscopy
  • STM
  • Screening


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