Ordering correlation function implementation for ordering analysis of 1D nanowires simulated via kinetic Monte Carlo method
Abstract
One-dimensional (1D) nanowires were characterized in terms of dimmer ordering by de¯ning an ordering correlation function. Kinetic Monte Carlo simulations were done to hypothetically produce 1D nanowires through codeposition of adatom species onto Si(100) surface. By combining different barrier energies, different surface morphologies with different degrees of dimer ordering were constructed and analyzed using the ordering correlation function. Results showed that our ordering correlation function accurately described surface morphologies' ordering quantitatively. These results can be of help to Scanning Tunneling Microscopy (STM) imaging where dimer identification is of significant concern.