Manipulating topology in tailored artificial graphene nanoribbons

ORAL

Abstract

As immortalized in the quantum corrals of Crommie, Lutz, and Eigler (Science (1993)), the symmetry of electronic surface states can be controlled by adsorbates. Over the past 30 years, progress in atomic manipulation and automation using scanning probes has enabled the synthesis of increasingly more complex structures. This talk will discuss the properties of one such class of structures: artificial graphene ribbons, first synthesized in 2012 (Nature 483, 306–310 (2012)).

Using density functional theory, tight binding, and extensive experimental validation, I will show how artificial graphene nanoribbons display not only similar electronic properties, but also similar topological properties to their eponymous counterparts. Specifically, their (quasi-) 1D nature enables the emergence of topologically-protected states depending on the connection between two artificial graphene nanoribbons (Phys. Rev. Lett. 119, 076401 (2017)). I will demonstrate that these topological states can be used to realize a wide array of Hamiltonians.

* This work was performed at the Center for Nanoscale Materials, a U.S. Department of Energy Office of Science User Facility, and supported by the U.S. Department of Energy, Office of Science, under Contract No. DE-AC02-06CH11357. This material is based upon work supported by Laboratory Directed Research and Development (LDRD) funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357.

Presenters

  • Pierre Darancet

    Argonne National Laboratory

Authors

  • Daniel J Trainer

    Argonne National Laboratory

  • Srilok Srinivasan

    Argonne National Laboratory

  • Brandon Fisher

    Argonne National Laboratory

  • Yuan Zhang

    Old Dominion University

  • Constance R Pfeiffer

    Argonne National Laboratory

  • Saw W Hla

    Ohio University

  • Nathan P Guisinger

    Argonne National Laboratory

  • Pierre Darancet

    Argonne National Laboratory

  • Nathan P Guisinger

    Argonne National Laboratory