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Correlation functions obtaining solutions

Results for two types of model systems are shown here, each at the two different inverse temperatures of P = 1 and P = 8. For each model system, the approximate correlation functions were compared with an exact quantum correlation function obtained by numerical solution of the Schrodinger equation on a grid and with classical MD. As noted earlier, testing the CMD method against exact results for simple one-dimensional non-dissipative systems is problematical, but the results are still useful to help us to better imderstand the limitations of the method imder certain circumstances. [Pg.61]

This estimate should be made more precise. To do it, let us use some results of the numerical solution of a set of the kinetic equations derived in the superposition approximation. The definition of the correlation length o in the linear approximation was based on an analysis of the time development of the correlation function Y(r,t) as it is noted in Section 5.1. Its solution is obtained neglecting the indirect mechanism of spatial correlation formation in a system of interacting particles, i.e., omitting integral terms in equations (5.1.14) to (5.1.16). Taking now into account such indirect interaction mechanism, the dissimilar correlation function, obtained as a solution of the complete set of equations in the superposition approximation... [Pg.304]

Fig. 7 shows the time correlation functions of solvent fluctuation in accordance with eq (7) using the values plotted in Fig. 6. In this calculation we used a(0)=30cm as the spectral width of the exciting laser pulse and 1430cm 1360cm and 1250cm for a(o>) in acetonitrile, methanol, and ethanol, respectively. In Fig. 7 the reported correlation functions obtained by the dynamic Stokes shift measurements of LDS7S0 in acetonitrile and 1-aminonaphthalene in methanol in accordance with eq (6) are also plotted by dashed lines. According to the literatures -, the correlation function decayed more than 80% in acetonitrile in the first 200fs and about 60% in methanol in the first 500fe. The peak shift of the absorption spectra in the present work was completed in the first Ips in methanol and ethanol solutions as indicated in Fig. 5 (2). However, the peak shift in acetonitrile solution could not be observed in the time resolution of our system. It is obvious fiom above results that the major part of the energy relaxation due to the fast response of the solvent dynamics is taken place in a few... Fig. 7 shows the time correlation functions of solvent fluctuation in accordance with eq (7) using the values plotted in Fig. 6. In this calculation we used a(0)=30cm as the spectral width of the exciting laser pulse and 1430cm 1360cm and 1250cm for a(o>) in acetonitrile, methanol, and ethanol, respectively. In Fig. 7 the reported correlation functions obtained by the dynamic Stokes shift measurements of LDS7S0 in acetonitrile and 1-aminonaphthalene in methanol in accordance with eq (6) are also plotted by dashed lines. According to the literatures -, the correlation function decayed more than 80% in acetonitrile in the first 200fs and about 60% in methanol in the first 500fe. The peak shift of the absorption spectra in the present work was completed in the first Ips in methanol and ethanol solutions as indicated in Fig. 5 (2). However, the peak shift in acetonitrile solution could not be observed in the time resolution of our system. It is obvious fiom above results that the major part of the energy relaxation due to the fast response of the solvent dynamics is taken place in a few...
Figure 1. Normalized experimental light-scattering correlation functions, obtained at i = 1030 cm for a solution of polystyrene (Mw= 96,400, w = 2.50%) in toluene subjected to various temperature gradients vr[18]. Figure 1. Normalized experimental light-scattering correlation functions, obtained at i = 1030 cm for a solution of polystyrene (Mw= 96,400, w = 2.50%) in toluene subjected to various temperature gradients vr[18].
Figure 1 shows the experimental time-dependent correlation flmctions obtained at k = 1030 cm for various values of the temperature gradient VT in a solution of polystyrene in toluene with a polymer concentration of w = 2.50%. The data are relative to the intensity of the stray light that serves as a local oscillator in the heterodyne scattering experiments. The correlation functions obtained for all values of VT can be represented by a single exponential... [Pg.39]

Figure 3.18. The correlation function obtained for a surface excess layer in a 0.1% wt/ wt solution of polyethylene oxide (Mr = 100 000) in water at = 871 cm . The solid line is the fit using the complete power spectrum expression the inset shows the residuals of the fitting. Figure 3.18. The correlation function obtained for a surface excess layer in a 0.1% wt/ wt solution of polyethylene oxide (Mr = 100 000) in water at = 871 cm . The solid line is the fit using the complete power spectrum expression the inset shows the residuals of the fitting.
The correlation functions provide an alternate route to the equilibrium properties of classical fluids. In particular, the two-particle correlation fimction of a system with a pairwise additive potential detemrines all of its themiodynamic properties. It also detemrines the compressibility of systems witir even more complex tliree-body and higher-order interactions. The pair correlation fiinctions are easier to approximate than the PFs to which they are related they can also be obtained, in principle, from x-ray or neutron diffraction experiments. This provides a useful perspective of fluid stmcture, and enables Hamiltonian models and approximations for the equilibrium stmcture of fluids and solutions to be tested by direct comparison with the experimentally detennined correlation fiinctions. We discuss the basic relations for the correlation fiinctions in the canonical and grand canonical ensembles before considering applications to model systems. [Pg.465]

Let us begin our discussion from the model of Cummings and Stell for heterogeneous dimerization a + P ap described in some detail above. In the case of singlet-level equations, HNCl or PYl, the direct correlation function of the bulk fluid c (r) represents the only input necessary to obtain the density profiles from the HNCl and PYl equations see Eqs. (6) and (7) in Sec. II A. It is worth noting that the transformation of a square-well, short-range attraction, see Eq. (36), into a 6-type associative interaction, see Eq. (39), is unnecessary unless one seeks an analytic solution. The 6-type term must be treated analytically while solving the HNCl... [Pg.180]

For one-dimensional rotation (r = 1), orientational correlation functions were rigorously calculated in the impact theory for both strong and weak collisions [98, 99]. It turns out in the case of weak collisions that the exact solution, which holds for any happens to coincide with what is obtained in Eq. (2.50). Consequently, the accuracy of the perturbation theory is characterized by the difference between Eq. (2.49) and Eq. (2.50), at least in this particular case. The degree of agreement between approximate and exact solutions is readily determined by representing them as a time expansion... [Pg.72]

Equilibrium molecular dynamics simulations have been performed to obtain the solution of the time correlation function (Table 14). ... [Pg.181]

Investigation of water motion in AOT reverse micelles determining the solvent correlation function, C i), was first reported by Sarkar et al. [29]. They obtained time-resolved fluorescence measurements of C480 in an AOT reverse micellar solution with time resolution of > 50 ps and observed solvent relaxation rates with time constants ranging from 1.7 to 12 ns. They also attributed these dynamical changes to relaxation processes of water molecules in various environments of the water pool. In a similar study investigating the deuterium isotope effect on solvent motion in AOT reverse micelles. Das et al. [37] reported that the solvation dynamics of D2O is 1.5 times slower than H2O motion. [Pg.412]

The dispersive force arises due to the intermolecular electron correlation between the solute and the solvent. Further, it is also important to include the changes in intramolecular and intermolecular solvent electron correlation upon insertion of the solute in the solvent continuum. Further, electron correlation affects the structure of the solute and its charge distribution. Hence, the wave function obtained from the calculation with electron correlation provides a more accurate description of reaction field. [Pg.387]

The method of many-electron Sturmian basis functions is applied to molecnles. The basis potential is chosen to be the attractive Conlomb potential of the nnclei in the molecnle. When such basis functions are used, the kinetic energy term vanishes from the many-electron secular equation, the matrix representation of the nnclear attraction potential is diagonal, the Slater exponents are automatically optimized, convergence is rapid, and a solution to the many-electron Schrodinger eqeuation, including correlation, is obtained directly, without the use ofthe self-consistent field approximation. [Pg.19]

The difficulty of this problem can be appreciated by noticing that in order to solve the Kohn-Sham equations exactly, one must have the exact exchange-correlation potential which, moreover, must be obtained from the exact exchange-correlation functional c[p( )] given by Eq. (160). As this functional is not known, the attempts to obtain a direct solution to the Kohn-Sham equations have had to rely on the use of approximate exchange-correlation functionals. This approximate direct method, however, does not satisfy the requirement of functional iV-representability,... [Pg.220]


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See also in sourсe #XX -- [ Pg.324 ]




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Obtaining Solution Properties from Correlation Functions

Solute function

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