Literature DB >> 32567110

Quantum Confinement of Dirac Quasiparticles in Graphene Patterned with Sub-Nanometer Precision.

Eva Cortés-Del Río1, Pierre Mallet2,3, Héctor González-Herrero1, José Luis Lado4, Joaquín Fernández-Rossier5,6, José María Gómez-Rodríguez1,7,8, Jean-Yves Veuillen2,3, Iván Brihuega1,7,8.   

Abstract

Quantum confinement of graphene Dirac-like electrons in artificially crafted nanometer structures is a long sought goal that would provide a strategy to selectively tune the electronic properties of graphene, including bandgap opening or quantization of energy levels. However, creating confining structures with nanometer precision in shape, size, and location remains an experimental challenge, both for top-down and bottom-up approaches. Moreover, Klein tunneling, offering an escape route to graphene electrons, limits the efficiency of electrostatic confinement. Here, a scanning tunneling microscope (STM) is used to create graphene nanopatterns, with sub-nanometer precision, by the collective manipulation of a large number of H atoms. Individual graphene nanostructures are built at selected locations, with predetermined orientations and shapes, and with dimensions going all the way from 2 nm up to 1 µm. The method permits the patterns to be erased and rebuilt at will, and it can be implemented on different graphene substrates. STM experiments demonstrate that such graphene nanostructures confine very efficiently graphene Dirac quasiparticles, both in 0D and 1D structures. In graphene quantum dots, perfectly defined energy bandgaps up to 0.8 eV are found that scale as the inverse of the dot's linear dimension, as expected for massless Dirac fermions.
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  atomic manipulation; graphene; graphene quantum dots; nanopatterning; scanning tunneling microscopy

Year:  2020        PMID: 32567110     DOI: 10.1002/adma.202001119

Source DB:  PubMed          Journal:  Adv Mater        ISSN: 0935-9648            Impact factor:   30.849


  1 in total

1.  Molecular Stacking on Graphene.

Authors:  Tao Wei; Xin Liu; Malte Kohring; Sabrin Al-Fogra; Michael Moritz; Daniel Hemmeter; Ulrike Paap; Christian Papp; Hans-Peter Steinrück; Julien Bachmann; Heiko B Weber; Frank Hauke; Andreas Hirsch
Journal:  Angew Chem Int Ed Engl       Date:  2022-07-05       Impact factor: 16.823

  1 in total

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