  While kinetic Monte Carlo simulations can provide long-time simulations of
the dynamics of physical and chemical systems, it is not yet possible in
general to identify the inverse Monte Carlo attempt frequency with a physical
timescale. Here we demonstrate such an identification by comparing simulations
with experimental data. Using a dynamic lattice-gas model for the
electrosorption of Br on Ag(100), we measure the scan-rate dependence of the
separation between positive-and negative-going peaks in cyclic-voltammetry (CV)
and compare simulated and experimental peak separations. By adjusting the Monte
Carlo attempt frequency, good agreement between simulated and experimental peak
separations is achieved. It is also found that the uniqueness of such a
determination is dependent on the relative values of the adsorption/desorption
and diffusion free-energy barriers.

Materials Science;Statistical Mechanics