Unconventional valley-dependent optical selection rules and landau level mixing in bilayer graphene

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

10 Scopus Citations
View graph of relations

Author(s)

  • Long Ju
  • Lei Wang
  • Seongphill Moon
  • Mike Ozerov
  • Zhengguang Lu
  • Takashi Taniguchi
  • Kenji Watanabe
  • Erich Mueller
  • Fan Zhang
  • Dmitry Smirnov
  • Farhan Rana
  • Paul L. McEuen

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number2941
Journal / PublicationNature Communications
Volume11
Issue number1
Online published10 Jun 2020
Publication statusPublished - 2020

Link(s)

Abstract

Selection rules are of vital importance in determining the basic optical properties of atoms, molecules and semiconductors. They provide general insights into the symmetry of the system and the nature of relevant electronic states. A two-dimensional electron gas in a magnetic field is a model system where optical transitions between Landau levels (LLs) are described by simple selection rules associated with the LL index N. Here we examine the inter-LL optical transitions of high-quality bilayer graphene by photocurrent spectroscopy measurement. We observed valley-dependent optical transitions that violate the conventional selection rules Δ|N| = ± 1. Moreover, we can tune the relative oscillator strength by tuning the bilayer graphene bandgap. Our findings provide insights into the interplay between magnetic field, band structure and many-body interactions in tunable semiconductor systems, and the experimental technique can be generalized to study symmetry-broken states and low energy magneto-optical properties of other nano and quantum materials.

Research Area(s)

Citation Format(s)

Unconventional valley-dependent optical selection rules and landau level mixing in bilayer graphene. / Ju, Long; Wang, Lei; Li, Xiao et al.
In: Nature Communications, Vol. 11, No. 1, 2941, 2020.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Download Statistics

No data available