While conventional crystal structure analysis using Bragg intensities revea
ls only information about the average structure of the crystal, diffuse sca
ttering contains additional information about the disorder, i.e. departure
from the average structure, of the studied material. Two different approach
es to the analysis of diffuse scattering based on Monte Carlo methods are d
escribed in this paper: the direct Monte Carlo (MC) simulation technique an
d the Reverse Monte Carlo (RMC) method. The MC method requires the construc
tion of a model for the disorder based on physical and chemical considerati
ons and the selection of a set of near-neighbour interactions. The given mo
del is realized by minimizing the total energy of the crystal via MC simula
tions. Next, the corresponding diffraction pattern is calculated and compar
ed with the experimental data. By adjusting the near-neighbour interaction
and repeating the process, a qualitative "match" between observed and calcu
lated diffuse scattering is obtained. In contrast, the RMC method minimizes
the difference between observed and calculated diffuse scattering intensit
ies directly. This method leads to one real space structure consistent with
the observed diffuse scattering but does not automatically result in a che
mically sensible structure or further insight into the particular disorder
problem.
The first example given in this paper demonstrates the viability of the RMC
method by refining diffuse scattering data calculated from simulated struc
tures with known disorder parameters. These structures were generated using
the MC technique. As a second example MC and RMC simulations of the diffus
e scattering of stabilized zirconias (CSZ) are shown, modelling occupationa
l disorder as well as displacements.