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August 25, 2008Physical Review B669 citations

Band structure engineering of graphene by strain: First-principles calculations

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GGGui GuiJLJin LiJZJianxin Zhong

Key Points

  • This research aims to examine how different strain distributions affect the electronic structure of graphene.
  • Utilized first-principles pseudopotential plane-wave method and tight-binding approach.
  • Examined symmetrical and asymmetrical strain distributions in graphene.
  • Analyzed the relationship between strain strength and band gap openings.
  • Symmetrical strain leads to a pseudogap that decreases linearly with strain strength.
  • Asymmetrical strain can open band gaps at the Fermi level, reaching 0.486 eV at 12.2% strain along C-C bonds.
  • Poisson ratio approaches a constant of 0.1732 under small strains but varies with large strains in different directions.

Abstract

We have investigated the electronic structure of graphene under different planar strain distributions using the first-principles pseudopotential plane-wave method and the tight-binding approach. We found that graphene with a symmetrical strain distribution is always a zero band-gap semiconductor and its pseudogap decreases linearly with the strain strength in the elastic regime. However, asymmetrical strain distributions in graphene result in opening of band gaps at the Fermi level. For the graphene with a strain distribution parallel to C-C bonds, its band gap continuously increases to its maximum width of 0.486 eV as the strain increases up to 12.2%. For the graphene with a strain distribution perpendicular to C-C bonds, its band gap continuously increases only to its maximum width of 0.170 eV as the strain increases up to 7.3%. The anisotropic nature of graphene is also reflected by different Poisson ratios under large strains in different directions. We found that the Poisson ratio approaches to a constant of 0.1732 under small strains but decreases differently under large strains along different directions.

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Cite This Study

Gui et al. (2008) studied this question.

synapsesocial.com/papers/6a3efefae0c93843bc0778b5https://doi.org/10.1103/physrevb.78.075435
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