4 research outputs found
Local Composition in a Binary Mixture on a One-Dimensional Ising Lattice
Expressions for the local composition
in a binary mixture of particles
placed on an Ising lattice are given in one dimension (1D) as a function
of the average composition and of the interchange energy. The particles
are supposed to interact through pairwise interactions between nearest
neighbors. The problem is solved by using the classic analogy with
the Ising spin problem. The result for the first neighbor is in agreement
with an expression obtained from quasi-chemical theory, which is known
to be exact in 1D. The composition for more remote neighbors is also
determined. Besides, a model proposed in the literature to calculate
approximately the local composition for the first neighbor in any
dimension is examined. The solution to the problem in 1D provides
insight into the model and a different interpretation of the thermodynamic
contributions involved in the method
Thermodynamic Consistency in the Modeling of Speciation in Self-Complexing Electrolytes
Speciation in aqueous solutions of
complexing electrolytes is an
important topic in environmental, toxicological, and sometimes industrial
issues. Its determination requires an estimation of the deviations
from ideality that originate from association effects, and excluded
volume and electrostatic interactions between the various species.
Modeling of such solutions is often based on the use of commonly accepted
values for the complex formation constants and the use of the Davies
equation to compute the activity coefficients of the species in solution.
In this work, it is shown that this treatment may result in a thermodynamic
inconsistency when moderately concentrated solutions of multiply self-complexing
salts are considered. This observation casts some doubt on the determination
of the speciation in such solutions. Occurrence of this shortcoming
is illustrated in the case of zinc and cadmium halides. This finding
suggests that the description of deviations from ideality (besides
association) should be improved. It also reveals that available complexity
constants for some common salts might not always have optimum values
in the literature
Local Composition for a Binary Mixture of Particles on a Three-Dimensional Ising Lattice
Results from Monte Carlo (MC) simulations are reported
for a binary
mixture of particles A and B placed at the nodes of a three-dimensional
cubic Ising lattice, with pairwise nearest neighbor interactions between
species <i>i</i> and <i>j</i>, <i>E</i><sub><i>ij</i></sub>. The local composition is studied
as a function of composition and of the value of the interchange energy
(δ = 2<i>E</i><sub>AB</sub> – <i>E</i><sub>AA</sub> – <i>E</i><sub>BB</sub>). The MC results
are used to assess the accuracy of analytical theories proposed in
the literature as a function of the interchange energy. The local
composition is shown to obey an exact limiting law at high dilution
of one component, thus providing a simple expression for the limiting
activity coefficient. The activity coefficients of the species and
the entropy per particle are computed from the MC data
Solutions of Alkylammonium and Bulky Anions: Description of Osmotic Coefficients within the Binding Mean Spherical Approximation
The binding mean spherical approximation (BiMSA) is used
to describe
osmotic coefficients for aqueous solutions of salts containing alkylammonium
cations or bulky anions. A total of 35 salt solutions is accurately
described at 25 °C over the whole concentration range, up to
very high concentrations such as 20 mol·kg<sup>–1</sup> for methylammonium chloride or 24 mol·kg<sup>–1</sup> for ammonium thiocyanate. The ion diameters, the permittivity of
solution, and the association constant are adjustable parameters within
the BiMSA model. New diameter values are assigned to alkylammonium
cations and bulky anions such as tetrafluoroborate, alkanesulfonates,
methylsulfate, trifluoroacetate, or trifluoromethanesulfonate anions.
Alkylammonium sizes are in reasonable agreement with literature values.
Besides, association constants values obtained within the BiMSA model
compare well with literature values when available