• Title of article

    Ab initio study of benzene adsorption on the Cu(1 1 0) surface and simulation of STM images

  • Author/Authors

    Rogers، نويسنده , , B.L. and Shapter، نويسنده , , J.G. and Ford، نويسنده , , M.J.، نويسنده ,

  • Issue Information
    هفته نامه با شماره پیاپی سال 2004
  • Pages
    12
  • From page
    29
  • To page
    40
  • Abstract
    The adsorption of benzene molecules onto the Cu(1 1 0) surface has been studied using a crystalline linear combination of atomic orbitals approximation (LCAO). Adsorption energetics have been modelled at both the Hartree–Fock (HF) and density functional theory (DFT) level, and scanning tunneling microscope (STM) images generated for the preferred adsorption geometry. The calculated binding energies are strongly dependent upon basis set superposition errors (BSSE). As expected HF provides a relatively poor description of this loosely bound system, and is found to be unbound when BSSE is taken into account. Inclusion of electron correlation through DFT methods gives an optimised binding energy of 106 kJ mol−1 with the benzene molecule occupying a bridging site between the rows of surface copper atoms and an adsorption height of approximately 2 Å. This figure takes account of relaxation of benzene upon adsorption with the hydrogen atoms tilting away from the surface. Our predicted energetics compare favourably with previous theoretical studies using cluster methods and experimental binding energies determined from temperature programmed desorption (TPD). We have also simulated scanning tunneling microscope (STM) images using the Tersoff and Hamann method and compare our results with recent experimental measurements. Our simulation suggests the experimental image results from a benzene dimer rather than an isolated molecule.
  • Keywords
    Copper , Aromatics , Ab initio quantum chemical methods and calculations , Density functional calculations , Scanning tunneling microscopy , physical adsorption
  • Journal title
    Surface Science
  • Serial Year
    2004
  • Journal title
    Surface Science
  • Record number

    1684107