Reconfigurable edge-state engineering in graphene using LaAlO3/SrTiO3 nanostructures

Abstract

The properties of graphene depend sensitively on doping with respect to the charge-neutrality point (CNP). Tuning the CNP usually requires electrical gating or chemical doping. Here, we describe a technique to reversibly control the CNP in graphene with nanoscale precision, utilizing LaAlO3/SrTiO3 (LAO/STO) heterostructures and conductive atomic force microscope (c-AFM) lithography. The local electron density and resulting conductivity of the LAO/STO interface can be patterned with a conductive AFM tip [Cen et al., Nat. Mater. 7, 298 (2008)] and placed within two nanometers of an active graphene device [Huang et al., APL Mater. 3, 062502 (2015)]. The proximal LAO/STO nanostructures shift the position of graphene CNP by ∼1012 cm−2 and are also gateable. Here, we use this effect to create reconfigurable edge states in graphene, which are probed using the quantum Hall effect. Quantized resistance plateaus at h/e2 and h/3e2 are observed in a split Hall device, demonstrating edge transport along the c-AFM written edge that depends on the polarity of both the magnetic field and direction of currents. This technique can be readily extended to other device geometries.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 25, 2019
Source ID
10.1063/1.5080251

Entities

People

  • Brian D'Urso
  • Chang-Beom Eom
  • Hyungwoo Lee
  • Jen-Feng Hsu
  • Jeremy Levy
  • Jianan Li
  • Jung-Woo Lee
  • Lu Chen
  • Patrick Irvin
  • Qing Guo
  • Shan Hao
  • Yang Hu

Organizations

  • Air Force Office of Scientific Research
  • Montana State University
  • National Science Foundation
  • Office of Naval Research
  • Pittsburgh Quantum Institute
  • University of Pittsburgh
  • University of Wisconsin–Madison

Tags

Fields of Study

  • Physics

Readers

  • Canadian European Scientific Immigration and Epilepsy Clearance Studies
  • Materials Science and Engineering.
  • Nanoscale Plasmonic Nanotechnology

Technology Areas

  • Microelectronics
  • Microelectronics - Graphene
  • Quantum Computing