1 / 16

Characterization of a Single Metal Impurity in Graphene

Characterization of a Single Metal Impurity in Graphene Eric Cockayne Ceramics Division, NIST, Gaithersburg Gregory M. Rutter Joseph A. Stroscio Center Nanoscale Science & Technology, NIST. Castro-Neto, Nature Mater. 6, 176 (2007). Castro-Neto et al., Physics World (2006).

amaris
Télécharger la présentation

Characterization of a Single Metal Impurity in Graphene

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Characterization of a Single Metal Impurity in Graphene Eric Cockayne Ceramics Division, NIST, Gaithersburg Gregory M. Rutter Joseph A. Stroscio Center Nanoscale Science & Technology, NIST

  2. Castro-Neto, Nature Mater. 6, 176 (2007). Castro-Neto et al., Physics World (2006) Graphene: Unusual electronic structure makes it a promising candidate For applications Microelectronics: high carrier mobility → high speed devices Resistance standard → unusual quantum Hall effect

  3. Growth of graphene from by thermal desorption of Si from SiC leads to large area of graphene, but defects frequently observed Goal of this talk: elucidate nature of defects with the ultimate aim of reducing or eliminating the defects In particular, will focus in pseudo-six fold defect very commonly observed Properties of defect found in STM images: Near sixfold symmetry; actually threefold Sqrt(3) modulation of graphene lattice Center of defect is dark Dark spokes observed. Depending on imaging conditions, diameter around 20-30 Ang.

  4. dI/dV plot ~ local density of states sharply peaked in energy, about 0.5 eV above the Dirac point

  5. Methods: ab initio & tight binding Ab initio electronic structure VASP used DFT, ultrasoft pseudopotentials 212 eV plane wave cutoff; 324 and 432 supercells for bilayer 8748 k points per BZ of primitive cell STM topographs simulations Tersoff approximation: fixed V current proportional to local density of states between Fermi level and bias V Tight binding electronic structure Mo d levels and C 2p z levels put into model Tight binding parameters determined via least squares Fitting to ab initio data Up to 3888 atoms for bilayer supercell ~175000 k points in primitive BZ cell

  6. Based on pseudosixfold nature of defect and fact that it is only observed in graphene bilayers/multilayers, hypothesize that defect is on axis of the center of a hexagon in the topmost layer of Bernal stacked graphene Intercalation Adatom Substitution Defect atom can be anything: focus on Mo and Si

  7. Graphene layers remain nearly flat (Dh < 0.25 Ang) for intercalated Mo Magnetism? Mo position Magnetic moment isolated atom 6.0 adatom 0.0 intercalated 0.0 substitution 2.0

  8. Bilayer Trilayer

  9. Tight binding model Include only C 2pz & Mo 4d orbitals Intralayer C-C coupling to 2 neighbor; interlayer coupling for A sublattice Mo-C coupling terms to 10 neighbors shown Parameters found by least square fitting to ab initio data Variance of C-C interations essential: For these terms: model A = Aideal + B(d – dideal); where A, B fit to each C-C interaction parameter; guarantees correct results reproduced for ideal graphene For larger supercells, graphene distorted around Mo as in ab initio results; rest of structure “padded” with ideal graphene.

  10. Conclusions • Single intercalated metal impurity explains most of features of experimental pseudo-six-fold defect • Coupling of Mo d states with graphene 2pz states responsible • Localization plots created • Tight binding model created; surprisingly large supercells necessary for convergence

More Related