• 文献标题:   Topology Classification using Chiral Symmetry and Spin Correlations in Graphene Nanoribbons
  • 文献类型:   Article
  • 作  者:   JIANG JW, LOUIE SG
  • 作者关键词:   graphene nanoribbon, topology, chiral symmetry, spin chain, strong spin correlation
  • 出版物名称:   NANO LETTERS
  • ISSN:   1530-6984 EI 1530-6992
  • 通讯作者地址:  
  • 被引频次:   18
  • DOI:   10.1021/acs.nanolett.0c03503
  • 出版年:   2021

▎ 摘  要

We apply the topological classification theory using chiral symmetry to graphene nanoribbons (GNRs). This approach eliminates the requirement of time-reversal and spatial symmetry in previous Z(2) topology theory, resulting in a Z classification with the conventional Z index in a new vector-formed expression called "chiral phase index" (CPI). Our approach is applicable to GNRs of arbitrary terminations and any quasi one-dimensional chiral structures, including magnetism. It naturally solves a recent experimental puzzle of junction states at a class of asymmetric GNR junctions. We moreover derive a simple analytic formula for the CPI of armchair GNRs. Since this approach enables access to electron spin behavior, based on the CPI, we design a novel GNR with periodic localized moments and strong spin-spin exchange coupling.