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Equilibrium distribution characteristic

Figure 4.3 shows a plot of both characteristic times as a function of 1/T. When xc < xq, the polymer is able to reach, continuously, the equilibrium distribution of conformations. So it remains in the rubbery (or liquid) state. But when x > xq, the polymer cannot reach equilibrium in the time-scale of the experiment and it behaves as a glass. In the frame of this kinetic model, the glass transition may be defined as the temperature at which xc = xq (Fig. 4.3). [Pg.136]

Another important characteristic of the surface processes is a ratio g of the adspecies migration rate constant to those of the surface reaction, adsorption, and desorption rates. At small coverages the parameter g controls the surface process conditions r 1 in the kinetic and g l in the diffusion mode. A fast surface mobility of the adspecies and their equilibrium distribution on the surface are the most frequently adopted assumptions. At r < 1 the macroscopic concentrations of adspecies 6 cannot be used for calculating the process rates, and a more detailed description of their distribution is essential. [Pg.362]

However this way could not give a self-consistent description between equilibrium and dynamical characteristics for elementary stages [80,89]. The lattice-gas model is the unique one that provides a self-consistent description of the equilibrium distribution of molecules as well as their dynamic behavior if the correlation effects are taken into account. Then the first correlator that provides such self-consistent description of elementary stages is a pair correlator 0j (r) (m — 2) in the quasi-chemical approximation. In the non-equilibrium conditions to calculate the unknown functions 6j (r) the kinetic Eq. (28) should be used. [Pg.379]

If the gas is suddenly disturbed thermally, a nonequilibrium distribution of internal states will result, and each degree of freedom is considered to relax to the new equilibrium distribution with a characteristic relaxation time t. Now, if the period of an acoustic wave is long compared to the largest t for the system, and if CTib is the vibrational specific heat, then the total... [Pg.205]

We apply the RDT theory to calculate an estimate (rf) of the free energy profile. The central quantity in this analysis is a generalized characteristic function g z) = ((exp(izF)))- of complex argument z. Here (( )) indicates an average over the surrogate solvent equilibrium distribution function (defined in terms of the surrogate Hamiltonian... [Pg.11]

It has been noted [95] that 2 in Eq. 34 plays two rather distinct roles 2 in the quadratic expression is a solvation energy which defines (with AC°) the vertical gap at equilibrium, whereas the other 2 s control the width of the Gaussian distribution characteristic of the linear coupling model. [Pg.95]

Relaxation behavior is deduced from measurements of various transient phenomena. Current interpretations of these phenomena dictate the definition of two processes by which the orientations of the nuclear magnetic moments reach the equilibrium distribution. These processes are described by characteristic times, designated Ti and T2. The first, Ti, is called the thermal or longitudinal relaxation time. [Pg.144]

Adsorption from solution involves the transfer of soluble species from the liquid phase to the surface of an adsorbent, a transfer which is governed by specific system dynamics and which results in a characteristic equilibrium distribution, or phase partitioning, of a solute. In the case of microporous adsorbents such as activated carbon, the uptake of solute consists of the four basic steps illustrated schematically in Figure 4 I) advective or bulk... [Pg.471]

Simulations—isoergic and isothermal, by molecular dynamics and Monte Carlo—as well as analytic theory have been used to study this process. The diagnostics that have been used include study of mean nearest interparticle distances, kinetic energy distributions, pair distribution functions, angular distribution functions, mean square displacements and diffusion coefficients, velocity autocorrelation functions and their Fourier transforms, caloric curves, and snapshots. From the simulations it seems that some clusters, such as Ar, 3 and Ar, 9, exhibit the double-valued equation of state and bimodal kinetic energy distributions characteristic of the phase change just described, but others do not. Another kind of behavior seems to occur with Arss, which exhibits a heterogeneous equilibrium, with part of the cluster liquid and part solid. [Pg.135]


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Equilibrium characteristics

Equilibrium distribution

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