Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Anomalous diffusion coefficient

It was commented that surface viscosities seem to correspond to anomalously high bulk liquid viscosities. Discuss whether the same comment applies to surface diffusion coefficients. [Pg.157]

Independent self-diffusion measurements [38] of molecularly dispersed water in decane over the 8-50°C interval were used, in conjunction with the self-diffusion data of Fig. 6, to calculate the apparent mole fraction of water in the pseudocontinuous phase from the two-state model of Eq. (1). In these calculations, the micellar diffusion coefficient, D ic, was approximated by the measured self-dilfusion coefficient for AOT below 28°C, and by the linear extrapolation of these AOT data above 28°C. This apparent mole fraction x was then used to graphically derive the anomalous mole fraction x of water in the pseudocontinuous phase. These mole fractions were then used to calculate values for... [Pg.258]

Not only does anion-1 differ from the molecular anions of acetonitrile in its absorption properties, but its dynamic properties are also anomalous. While anion-2 has normal mobility, anion-1 is a high-mobility anion whose room temperature diffusion coefficient is more than three times higher than that of solute ions and anion-2 [30]. The activation energy for this migration is just 3.2 kJ/mol while the value for normal ions (including anion-2) is 7.6 kJ/mol [30]. Electron-transfer reactions that involve anion-1... [Pg.317]

Tn the critical region of mixtures of two or more components some physical properties such as light scattering, ultrasonic absorption, heat capacity, and viscosity show anomalous behavior. At the critical concentration of a binary system the sound absorption (13, 26), dissymmetry ratio of scattered light (2, 4-7, II, 12, 23), temperature coefficient of the viscosity (8,14,15,18), and the heat capacity (15) show a maximum at the critical temperature, whereas the diffusion coefficient (27, 28) tends to a minimum. Starting from the fluctuation theory and the basic considerations of Omstein and Zemike (25), Debye (3) made the assumption that near the critical point, the work which is necessary to establish a composition fluctuation depends not only on the average square of the amplitude but also on the average square of the local... [Pg.55]

Fig. 2 Positional detection and mean-square displacement (MSD). (a) The x, y-coordinates of a particle at a certain time point are derived from its diffraction limited spot by fitting a 2D-Gaussian function to its intensity profile. In this way, a positional accuracy far below the optical resolution is obtained, (b) The figure depicts a simplified scheme for the analysis of a trajectory and the corresponding plot of the time dependency of the MSD. The average of all steps within the trajectory for each time-lag At, with At = z, At = 2z,... (where z = acquisition time interval from frame to frame) gives a point in the plot of MSD = f(t). (c) The time dependence of the MSD allows the classification of several modes of motion by evaluating the best fit of the MSD plot to one of the four formulas. A linear plot indicates normal diffusion and can be described by = ADAt (D = diffusion coefficient). A quadratic dependence of on At indicates directed motion and can be fitted by = v2At2 + ADAt (v = mean velocity). An asymptotic behavior for larger At with = [1 - exp (—AA2DAt/)] indicates confined diffusion. Anomalous diffusion is indicated by a best fit with = ADAf and a < 1 (sub-diffusive)... Fig. 2 Positional detection and mean-square displacement (MSD). (a) The x, y-coordinates of a particle at a certain time point are derived from its diffraction limited spot by fitting a 2D-Gaussian function to its intensity profile. In this way, a positional accuracy far below the optical resolution is obtained, (b) The figure depicts a simplified scheme for the analysis of a trajectory and the corresponding plot of the time dependency of the MSD. The average of all steps within the trajectory for each time-lag At, with At = z, At = 2z,... (where z = acquisition time interval from frame to frame) gives a point in the plot of MSD = f(t). (c) The time dependence of the MSD allows the classification of several modes of motion by evaluating the best fit of the MSD plot to one of the four formulas. A linear plot indicates normal diffusion and can be described by <r2> = ADAt (D = diffusion coefficient). A quadratic dependence of <r2> on At indicates directed motion and can be fitted by <r2> = v2At2 + ADAt (v = mean velocity). An asymptotic behavior for larger At with <r2> = <rc2> [1 - exp (—AA2DAt/<rc2>)] indicates confined diffusion. Anomalous diffusion is indicated by a best fit with <r2> = ADAf and a < 1 (sub-diffusive)...
It has been assumed in Equation (6) that the tracer can freely access all void space, be it infra- or interparticle. Note that if a barrier to this exchange exists instead, the possibility of the onset of anomalous diffusion should be considered.42 In this case, the molecular displacement does not increase linearly as a function of the echo time, due to the physical threshold, which translates in an apparent reduction of the diffusion coefficients (till vanishing) for increasing A. Thus, the independence of De on the echo time must be controlled in order not to produce erratic experimental values. [Pg.165]

To describe various anomalous release behaviors from glassy hydrogels, the following time-dependent drug diffusion coefficient is defined ... [Pg.386]

Section III is devoted to illustrating the first theoretical tool under discussion in this review, the GME derived from the Liouville equation, classical or quantum, through the contraction over the irrelevant degrees of freedom. In Section III.A we illustrate Zwanzig s projection method. Then, in Section III.B, we show how to use this method to derive a GME from Anderson s tight binding Hamiltonian The second-order approximation yields the Pauli master equation. This proves that the adoption of GME derived from a Hamiltonian picture requires, in principle, an infinite-order treatment. The case of a vanishing diffusion coefficient must be considered as a case of anomalous diffusion, and the second-order treatment is compatible only with the condition of ordinary... [Pg.359]


See other pages where Anomalous diffusion coefficient is mentioned: [Pg.264]    [Pg.77]    [Pg.264]    [Pg.77]    [Pg.489]    [Pg.143]    [Pg.474]    [Pg.480]    [Pg.524]    [Pg.531]    [Pg.41]    [Pg.44]    [Pg.209]    [Pg.17]    [Pg.103]    [Pg.193]    [Pg.724]    [Pg.51]    [Pg.193]    [Pg.289]    [Pg.291]    [Pg.199]    [Pg.506]    [Pg.50]    [Pg.73]    [Pg.74]    [Pg.74]    [Pg.76]    [Pg.76]    [Pg.71]    [Pg.148]    [Pg.149]    [Pg.150]    [Pg.386]    [Pg.388]    [Pg.388]    [Pg.696]    [Pg.299]    [Pg.459]    [Pg.134]    [Pg.109]   
See also in sourсe #XX -- [ Pg.300 , Pg.301 ]

See also in sourсe #XX -- [ Pg.300 , Pg.301 ]




SEARCH



Anomalous diffusion

© 2024 chempedia.info