MOLECULAR SIMULATION STUDIES IN THE SUPERCRITICAL REGION

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MOLECULAR SIMULATION STUDIES IN THE SUPERCRITICAL REGION ( molecular-simulation-studies-insupercritical-region )

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system density to the critical density increases the fraction of the total volume that may be deemed high density, but voids are still observed and a fraction of the molecules are either in low-density regions (gas like) or are on the boundary of a high density region (liquid-like). As the system is equilibrated at high densities far from the critical density, we observe only the high density region (bulk density). Figure 8-5: Snapshots of supercritical CO2 at densities (in increasing order from left to right. (a) 60.49 kg/m3 (b) 419.09 kg/m3 and (c) 712.81 kg/m3 each at T = 308.15 K It is important to begin our discussion, realizing what the radial distribution function expresses. The g(r) function can be thought of as a measure of the structure in a system because, it gives the probability of finding a pair of particles a distance r apart, relative to the probability that would be expected for a random distribution with the same density. In other words, the g(r) can be written like the following equation. g(r)  (r)dr (8.1) iddr where (r) the density of real fluid and (r)id the density of the ideal fluid. One can define local densities in terms of the average numbers of solvent molecules (or atoms) found within a given region surrounding the solute. The number of neighbours, n(r) can be determined by integrating the radial distribution function using the following formula (s notes the distance r in the integral): 116

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