1990
DOI: 10.1103/physrevlett.65.2197
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Percolation model for relaxation in random systems

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Cited by 72 publications
(24 citation statements)
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“…on a distribution of finite domains has been shown to give excellent agreement with observed magnetic relaxation in spin glasses [11], stress relaxation in ionic glasses [12,13], and dielectric susceptibility of glass-forming liquids [14,15]. The model is based on standard domain-size distributions and elementary finite-size quantization, thus providing a common link between fundamental excitations and observed dynamic response.…”
mentioning
confidence: 69%
“…on a distribution of finite domains has been shown to give excellent agreement with observed magnetic relaxation in spin glasses [11], stress relaxation in ionic glasses [12,13], and dielectric susceptibility of glass-forming liquids [14,15]. The model is based on standard domain-size distributions and elementary finite-size quantization, thus providing a common link between fundamental excitations and observed dynamic response.…”
mentioning
confidence: 69%
“…Therefore, all the dipoles ͑or spins͒ within the correlated domain have the same average level of excitation. [14][15][16][17][18] Since the initial response ( P s ) and the relaxation rate ( s ) are directly related to the size of a given correlated domain, the net response P(t) can be written using the following linear response terms with the weighted sum over all the domains:…”
Section: Chamberlin's Correlated Domain Modelmentioning
confidence: 99%
“…The time evolution of physical properties of such a Ôstructure with variationsÕ is non-predictable or anomalous, and the main feature of all dynamical processes in such systems is their stochastic background. Hence, unlike the classical exponential relaxation law, the widely prevailing universal law (1) with its fractional power-law dependence cannot be explained in the framework of any intuitively simple physical concept [11][12][13][14][15][16][17][18][19][20]. The need to find the connections between the macroscopic, universal property (1) and the random, local properties of the relaxing complex system requires introduction into the theoretical analysis of advanced stochastic methods [9,13,16,[18][19][20].…”
Section: Introductionmentioning
confidence: 99%