Magneto-electronic and optical properties of Si-doped graphene

Po Hsin Shih, Thi Nga Do, Bor Luan Huang, Godfrey Gumbs, Danhong Huang, Ming Fa Lin

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The rich and unique magnetic quantization phenomena of Si-doped graphene defect systems for various concentrations and configurations are fully explored by using the generalized tight-binding model. The non-uniform bond lengths, site energies and hopping integrals, as well as a uniform perpendicular magnetic field (B z zˆ) are taken into account simultaneously. The quantized Landau levels (LLs) are classified into four different groups based on the probability distributions and oscillation modes. The main characteristics of the LLs are clearly reflected in the magneto-optical selection rules which cover the dominating Δn=|n v −n c |=0, the coexistent Δn=0 and Δn=1, along with the specific Δn=1. These rules for inter-LL excitations are attributed to the non-equivalence or equivalence of the A i and B i sublattices in a supercell. The spectral intensity can be controlled by oscillator strength using a canonical momentum (vector potential) as well as by density of states using concentration and distribution of doped Si atoms.

Original languageEnglish
Pages (from-to)608-614
Number of pages7
JournalCarbon
Volume144
DOIs
Publication statusPublished - 2019 Apr 1

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Bond length
Electronic properties
Graphene
Probability distributions
Momentum
Optical properties
Magnetic fields
Atoms
Defects

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Materials Science(all)

Cite this

Shih, Po Hsin ; Do, Thi Nga ; Huang, Bor Luan ; Gumbs, Godfrey ; Huang, Danhong ; Lin, Ming Fa. / Magneto-electronic and optical properties of Si-doped graphene. In: Carbon. 2019 ; Vol. 144. pp. 608-614.
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Magneto-electronic and optical properties of Si-doped graphene. / Shih, Po Hsin; Do, Thi Nga; Huang, Bor Luan; Gumbs, Godfrey; Huang, Danhong; Lin, Ming Fa.

In: Carbon, Vol. 144, 01.04.2019, p. 608-614.

Research output: Contribution to journalArticle

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