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Disordered systems dynamic percolation

The percolation model, which can be applied to any disordered system, is used for an explanation of the charge transfer in semiconductors with various potential barriers [4, 14]. The percolation threshold is realized when the minimum molar concentration of the other phase is sufficient for the creation of an infinite impurity cluster. The classical percolation model deals with the percolation ways and is not concerned with the lifetime of the carriers. In real systems the lifetime defines the charge transfer distance and maximum value of the possible jumps. Dynamic percolation theory deals with such case. The nonlinear percolation model can be applied when the statistical disorder of the system leads to the dependence of the system s parameters on the electrical field strength. [Pg.11]

To characterize the dynamic movement of particles on a fractal object, one needs two additional parameters the spectral or fracton dimension ds and the random-walk dimension dw. Both terms are quite important when diffusion phenomena are studied in disordered systems. This is so since the path of a particle or a molecule undergoing Brownian motion is a random fractal. A typical example of a random fractal is the percolation cluster shown in Figure 1.5. [Pg.26]

In the rest of this chapter, we will discuss briefly the theoretical ideas and the models employed for the study of failure of disordered solids, and other dynamical systems. In particular, we give a very brief summary of the percolation theory and the models (both lattice and continuum). The various lattice statistical exponents and the (fractal) dimensions are introduced here. We then give brief introduction to the concept of stress concentration around a sharp edge of a void or impurity cluster in a stressed solid. The concept is then extended to derive the extreme statistics of failure of randomly disordered solids. Here, we also discuss the competition between the percolation and the extreme statistics in determining the breakdown statistics of disordered solids. Finally, we discuss the self-organised criticality and some models showing such critical behaviour. [Pg.4]


See other pages where Disordered systems dynamic percolation is mentioned: [Pg.32]    [Pg.71]    [Pg.178]    [Pg.524]    [Pg.144]    [Pg.278]    [Pg.68]    [Pg.268]    [Pg.783]    [Pg.1489]   
See also in sourсe #XX -- [ Pg.65 , Pg.66 , Pg.67 , Pg.68 , Pg.69 , Pg.70 , Pg.71 , Pg.72 ]

See also in sourсe #XX -- [ Pg.65 , Pg.66 , Pg.67 , Pg.68 , Pg.69 , Pg.70 , Pg.71 , Pg.72 ]




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