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Exponent length scale

Turning to the self-motion of PVE protons, Fig. 5.18 shows the NSE data obtained for Sseif(Q,t). If indeed there existed a second Gaussian subdiffusive regime at length scales shorter than that of the Rouse dynamics, then following Eq. 3.26 also for Q>Qr it should be possible to construct a Q-independent (r t)). This is shown in Fig. 5.19. For Q>0.20 A" a nearly perfect collapse of the experimental data into a single curve is obtained. The time dependence of the determined can be well described by a power law with an exponent of... [Pg.143]

As it was mentioned in Section 5.1, computer simulations demonstrate existence of the correlation length whose time development is, however, difficult to investigate in detail. At any rate, it corresponds approximately to the length scale o oc In t introduced earlier in the linear approximation. We can introduce the asymptotic (t —> oo) exponent a for the static tunnelling recombination similarly to (4.1.68) used for the diffusion-controlled problem ... [Pg.303]

At first, one would tend to reconsider conventional crossover due to mean-field criticality associated with long-range interactions in terms of the refined theories. Conventional crossover conforms to the first case mentioned—that is, small u with the correlation length of the critical fluctuations to be larger than 0. However, in the latter case one expects smooth crossover with slowly and monotonously varying critical exponents, as observed in nonionic fluids. Thus, the sharp and nonmonotonous behavior cannot be reconciled with one length scale only. [Pg.54]

Several paradoxes have become apparent from modern descriptions of phase transitions, and these have driven much of the research activity in this field. The intermolecular interactions that are responsible for the phase transition are relatively short-ranged, yet they serve to create very long-range order at the transition temperature. The quantum mechanical details of the interactions governing various transitions are very different, and the length scales over which they operate vary considerably, yet the observation of scaling laws and the equivalences of a given critical exponent value within a fixed dimensionality of the order parameter show that some additional principle not described by quantum mechanics must also be at work. Also, the partition... [Pg.109]

Fig. 30a behaves similarly to that of the NBR/N220-samples shown in Fig. 29, i.e., above a critical frequency it increases according to a power law with an exponent n significantly smaller than one. In particular, just below the percolation threshold for 0=0.15 the slope of the regression line in Fig. 30a equals 0.98, while above the percolation threshold for 0=0.2 it yields n= 0.65. This transition of the scaling behavior of the a.c.-conductivity at the percolation threshold results from the formation of a conducting carbon black network with a self-similar structure on mesoscopic length scales. [Pg.42]

The second is the model proposed by Johnson, Schwarty and co-workers who introduced a dynamic length scale Ae which is a function of the electrical field intensity E in the medium and is related to the formation factor and so to Archie s exponent m by the relationship [12] ... [Pg.488]

Figure 3. Recursive replacement of the zigzag motif over four decades in length scale (dash-dot-dot, coarse dash, fine dash, solid largest scale shown only partially). This generates a self-affined surface with a growth exponent equal to one-half Modified from Barabasi and Stanley (1995). Figure 3. Recursive replacement of the zigzag motif over four decades in length scale (dash-dot-dot, coarse dash, fine dash, solid largest scale shown only partially). This generates a self-affined surface with a growth exponent equal to one-half Modified from Barabasi and Stanley (1995).

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