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Binary distribution function

While in aqueous solutions an electrical double layer is formed, in molten salts an electrical multilayer is formed because of their structure [116]. The Russian school, particularly Dogonadze and Chizmadzhev [117], presented the first theoretical description of this layer. These authors used a binary distribution function to interpret X-ray diffraction measurements in molten salts. By means of these results they tried to describe the structure of the melt at the interface and concluded that the charge distribution was characterized by an attenuated oscillation of the charge distribution in the melt. [Pg.499]

Of all these functions, the one of most importance in molecular problems is the binary distribution function 2) which, for real gases and... [Pg.344]

The binary distribution function has assumed a particular significance in the theories of liquids. The methods of statistical physics allow one to express the main thermodynamic functions through the binary function, namely, the internal energy... [Pg.167]

I he binary distribution function g r) is related to the intermolecular potential of the pair interaction (p r) via an integro-differential equation, which comprises an unknown runction, r2,C3), which is the main difficulty in determining 9(ri,r2). [Pg.167]

The phase diagrams of the 2D binary alloys are shown in Fig.5. In Fig.6, we show the point distribution functions f and fg of the binary alloys. The dashed curve in Fig.5 shows the phase separation determined by the conventional CVM with the pair approximation The parameter is taken such that 4e = 2e g - ( aa bb)- The solid curve is calculated using the present continuous CVM, with the... [Pg.56]

In conclusion, we have presented a new formulation of the CVM which allows continuous atomic displacement from lattice point and applied the scheme to the calculations of the phase diagrams of binary alloy systems. For treating 3D systems, the memory space can be reduced by storing only point distribution function f(r), but not the pair distribution function g(r,r ). Therefore, continuous CVM scheme can be applicable for the calculations of phase diagrams of 3D alloy systems [6,7], with the use of the standard type of computers. [Pg.56]

Now let us add the possibility of collisions. Before we proceed, we make the following two assumptions (1) only binary collisions occur, i.e. we rule out situations in which three or more hard-spheres simultaneously come together (which is a physically reasonable assumption provided that the gas is sufficiently dilute), and (2) Boltzman s Stosszahlansatz, or his molecular chaos assumption that the motion of the hard-spheres is effectively pairwise uncorrelated i.e. that the pair-distribution function is the product of individual distribution functions ... [Pg.476]

This binary collision approximation thus gives rise to a two-particle distribution function whose velocities change, due to the two-body force F12 in the time interval s, according to Newton s law, and whose positions change by the appropriate increments due to the particles velocities. [Pg.45]

If the interval r is large compared with the time for a collision to be completed (but small compared with macroscopic times), then the arguments of the distribution functions are those appropriate to the positions and velocities before and after a binary collision. The integration over r2 may be replaced by one over the relative distance variable r2 — rx as noted in Section 1.7, collisions taking place during the time r occur in the volume g rbdbde, where g is the relative velocity, and (6,e) are the relative collision coordinates. Incomplete collisions, or motions involving periodic orbits take place in a volume independent of r when Avx(r) and Av2(r) refer to motion for which a collision does not take place (or to the force-field free portion of the... [Pg.45]

When the system contains more than one component it is important to be able to explore the distribution of the different components both locally and at long range. One way in which this can be achieved is to evaluate the distribution function for the different species. For example in a binary mixture of components A and B there are four radial distribution functions, g (r), g (r), g (r) and g (r) which are independent under certain conditions. More importantly they would, with the usual definition, be concentration dependent even in the absence of correlations between the particles. It is convenient to remove this concentration dependence by normalising the distribution function via the concentrations of the components [26]. Thus the radial distribution function of g (r) which gives the probability of finding a molecule of type B given one of type A at the origin is obtained from... [Pg.77]

A sufficiently rarefied gas, or a mixture of gases, consists of a number of neutral molecules of species 1 and 2 (which may or may not be the same). We may assume a distribution of velocities (measured in the laboratory frame), fi ( ) d3u, that may be modeled by a Maxwellian distribution function, with i = 1 or 2, as long as the duration of the average collision is short compared to the time between collisions. For binary collisions, one usually transforms from laboratory coordinates, Vj, to relative ( >12) and center-of-mass (1>cm) velocities,... [Pg.29]

For the rototranslational spectra, within the framework of the isotropic interaction approximation, the expressions for the zeroth and first moments, Eqs. 6.13 and 6.16, are exact provided the quantal pair distribution function (Eq. 5.36) is used [314]. A similar expression for the binary second translational moment has been reported [291],... [Pg.286]

For the calculation of the binary collision term the radial distribution function g(r) and the static structure factor of the solute S(q) is required. [Pg.113]

Note that the binary HMSA [60] scheme gives the solute-solvent radial distribution function only in a limited range of solute-solvent size ratio. It fails to provide a proper description for such a large variation in size. Thus, here the solute-solvent radial distribution function has been calculated by employing the well-known Weeks-Chandler-Anderson (WCA) perturbation scheme [118], which requires the solution of the Percus-Yevick equation for the binary mixtures [119]. [Pg.157]

The reason for the early crossover can be understood from the following discussion. When the interaction energy between the solute and the solvent is increased, the peak of the radial distribution function does not disappear. Thus c 2(q) 0 for all wavenumbers. Hence the density mode contribution does not become zero as happens in the case where the size of the solute is only increased. Hence Dmicroi along with the binary term, also contains the contribution from the density mode. This results in faster decrease of Dmjcro > leading to an early crossover. [Pg.166]

Now we will introduce the distribution function of the atoms. Obviously, this function is related to the average of pafl(PP). In the spatially homogeneous system this quantity is diagonal (in the binary collision approximation)... [Pg.232]

Once the unary and binary potentials, which describe interactions in the wall-ion system, are specified, distribution of ions near the wall, and between slabs can be calculated. We will further employ an approximation based upon the distribution function formalism, but first the definitions of equilibrium ion densities and corresponding distribution functions have to be introduced. [Pg.450]

The above result seems to adequately describe the observed Brillouin scattering of a homogeneous single-component-polymer fluid near its glass transition (13). If a binary mixture is truly homogeneous, then Equation 11 also should be valid for this case. However, if the two components phase separate, then the distribution function given by Equation 10 is invalid and further analysis is required. [Pg.523]

N number of particles, a range of inter-particle forces). If the collision process is binary and non-reactive (post-collision species i, j remain the same as pre-collision species i and j), these indices do not appear in the collision integral, and we can adopt the standard notations of a binary collision turning the two velocities v, v into v, v, with the corresponding abbreviations for the distribution functions /, /i and /, /, respectively. Let W(v, vi —> v, v ) denote the probability for such a transition, then... [Pg.42]

Throop, G. J., and R. J. Bearman Radial Distribution Functions for Binary Fluid Mixtures of Lennard-Jones Molecules Calculated from the Percus-Yevick Equation. J. Chem. Phys. 44, 1423—1444 (1966). [Pg.108]

Radial Distribution Functions. What happens when X-ray diffraction occurs in liquids To understand this (see also Section 3.11), it is best at first to consider only a single-species liquid one could have in mind not a binary molten salt such as liquid sodium chloride, but, say, liquid sodium. [Pg.614]

Applying this function into the mass-balance equation (2-33) and performing the same conversions [Eqs. (2-34)-(2-39)], the final equation for the analyte retention in binary eluent is obtained. In expression (2-67) the analyte distribution coefficient (Kp) is dependent on the eluent composition. The volume of the acetonitrile adsorbed phase is dependent on the acetonitrile adsorption isotherm, which could be measured separately. The actual volume of the acetonitrile adsorbed layer at any concentration of acetonitrile in the mobile phase could be calculated from equation (2-52) by multiplication of the total adsorbed amount of acetonitrile on its molar volume. Thus, the volume of the adsorbed acetonitrile phase (Vj) can be expressed as a function of the acetonitrile concentration in the mobile phase (V, (Cei)). Substituting these in equation (2-67) and using it as an analyte distribution function for the solution of mass balance equation, we obtain... [Pg.56]

In an elemental material there is only one pair distribution function. As the complexity of the system increases, the number of distribution functions rapidly increases. In a binary mixture there are three pair correlation functions and in a mixture with N components there are (N + 1) N/2. [Pg.139]


See other pages where Binary distribution function is mentioned: [Pg.811]    [Pg.605]    [Pg.811]    [Pg.605]    [Pg.131]    [Pg.132]    [Pg.143]    [Pg.607]    [Pg.55]    [Pg.110]    [Pg.146]    [Pg.209]    [Pg.183]    [Pg.863]    [Pg.131]    [Pg.132]    [Pg.143]    [Pg.74]    [Pg.223]    [Pg.223]    [Pg.375]    [Pg.395]    [Pg.90]    [Pg.104]    [Pg.2]    [Pg.638]    [Pg.99]   
See also in sourсe #XX -- [ Pg.166 ]




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