The Radial Distribution Function, R.D.F. , g(r), also called pair distribution function or pair correlation function, is an important structural characteristic, therefore computed by I.S.A.A.C.S.
Figure 5.2:
Space discretization for the evaluation of the radial distribution function.
Considering a homogeneous distribution of the atoms/molecules in space, the g(r) represents the probability to find an atom in a shell dr at the distance r of another atom chosen as a reference point [Fig. 5.2].
By dividing the physical space/model volume into shells dr [Fig. 5.2] it is possible to compute the number of atoms dn(r) at a distance between r and r + dr from a given atom:
dn(r) = g(r) 4πr2dr
(5.2)
where N represents the total number of atoms, V the model volume and where g(r) is the radial distribution function.
In this notation the volume of the shell of thickness dr is approximated:
Vshell = π(r + dr)3 - πr3 4πr2dr
(5.3)
When more than one chemical species are present the so-called partial radial distribution functions
gαβ(r) may be computed :
gαβ(r) = with ρα = =
(5.4)
where cα represents the concentration of atomic species α.
These functions give the density probability for an atom of the α species to have a neighbor of the β species at a given distance r. The example features GeS2 glass.
Figure 5.3:
Partial radial distribution functions of glassy GeS2 at 300 K.
Figure [Fig 5.3] shows the partial radial distribution functions for GeS2 glass at 300 K. The total RDF of a system is a weighterd sum of the respective partial RDFs, with the weights depend on the relative concentration and x-ray/neutron scattering amplitudes of the chemical species involved.
It is also possible to use the reduced
(r) partial distribution functions defined as:
(r) = 4πrρ0gαβ(r) - 1
(5.5)
I.S.A.A.C.S. gives access to the partial
gαβ(r) and
(r) distribution functions.
Two methods are available to compute the radial distribution functions:
•
The standard real space calculation typical to analyze 3-dimensional models
•
The experiment-like calculation using the Fourier transform of the structure factor obtained using the Debye equation (see Sec. 5.3 for details).