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Correlating properties of a simple liquid at criticality in a reduced geometry

✍ Scribed by K.A. Chalyi; K. Hamano; A.V. Chalyi


Book ID
104303452
Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
540 KB
Volume
92
Category
Article
ISSN
0167-7322

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✦ Synopsis


We examine correlating properties in terms of the pair-correlation function of orderparameter fluctuations for a near-critical liquid in a reduced geometry system of cylindrical form, in which the geometrical factor set the characteristic of spatial limitation and defined by K = a/& with a being the cylinder radius, which is reduced to the order of 106 compared with the amplitude of the correlation length &... The pair-correlation function Gr of order-parameter fluctuations (e.g., density fluctuations for the one-component fluid) is obtained as a solution of equation for Helmholts operator which is associated with Ornstein-Zernike (OZ) equation.

Reduced geometry of the system leads to the dependence of correlation function Ge not only on thermodynamical variables but on the cylinder radius as well. The correlation length turns out to be dependent on the geometric factor as &,/a, N 0.81K at the bulk critical temperature and anisotropy of correlating properties of the system gives rise to R$B: N 1.06 , where @ and R,' denote the components of & associated with the axis of the cylinder. Our results suggest that the critical growth behaviour of correlation length should remain only along the axis associated with the present geometry, i.e. in spatially unlimited direction, moreover not under the critical temperature of the bulk liquid, but under the new one.


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Some properties of the NRTL equation in
✍ Robert A. Heidemann; Jamanlal M. Mandhane πŸ“‚ Article πŸ“… 1973 πŸ› Elsevier Science 🌐 English βš– 713 KB

The NRTL equation proposed by Renon and Prausnitz has been discovered to have some properties that may complicate its use. Specifically, there is more than one set of parameters, r,\* and Q,, which fit given solubility data with a fixed value of the nonrandomness parameter. Also, some sets of parame