English

Gate-dependent Pseudospin Mixing in Graphene/Boron Nitride Moire Superlattices

Mesoscale and Nanoscale Physics 2016-03-27 v1 Materials Science

Abstract

Electrons in graphene are described by relativistic Dirac-Weyl spinors with a two-component pseudospin1-12. The unique pseudospin structure of Dirac electrons leads to emerging phenomena such as the massless Dirac cone2, anomalous quantum Hall effect2, 3, and Klein tunneling4, 5 in graphene. The capability to manipulate electron pseudospin is highly desirable for novel graphene electronics, and it requires precise control to differentiate the two graphene sub-lattices at atomic level. Graphene/boron nitride (graphene/BN) Moire superlattice, where a fast sub-lattice oscillation due to B-N atoms is superimposed on the slow Moire period, provides an attractive approach to engineer the electron pseudospin in graphene13-18. This unusual Moire superlattice leads to a spinor potential with unusual hybridization of electron pseudospins, which can be probed directly through infrared spectroscopy because optical transitions are very sensitive to excited state wavefunctions. Here, we perform micro-infrared spectroscopy on graphene/BN heterostructure and demonstrate that the Moire superlattice potential is dominated by a pseudospin-mixing component analogous to a spatially varying pseudomagnetic field. In addition, we show that the spinor potential depends sensitively on the gate-induced carrier concentration in graphene, indicating a strong renormalization of the spinor potential from electron-electron interactions. Our study offers deeper understanding of graphene pseudospin structure under spinor Moire potential, as well as exciting opportunities to control pseudospin in two-dimensional heterostructures for novel electronic and photonic nanodevices.

Keywords

Cite

@article{arxiv.1405.2032,
  title  = {Gate-dependent Pseudospin Mixing in Graphene/Boron Nitride Moire Superlattices},
  author = {Zhiwen Shi and Chenhao Jin and Wei Yang and Long Ju and Jason Horng and Xiaobo Lu and Hans A. Bechtel and Michael C. Martin and Deyi Fu and Junqiao Wu and Kenji Watanabe and Takashi Taniguchi and Yuanbo Zhang and Xuedong Bai Enge Wang and Guangyu Zhang and Feng Wang},
  journal= {arXiv preprint arXiv:1405.2032},
  year   = {2016}
}