Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2012-01-21
Physics
Condensed Matter
Disordered Systems and Neural Networks
16 pages, 4 Figures
Scientific paper
We view a complex liquid as a network of bonds connecting each particle to its nearest neighbors; the dynamics of this network is a chain of discrete events signaling particles rearrangements. Within this picture, we studied a two-dimensional complex liquid and found a stretched-exponential decay of the network memory and a power-law for the distribution of the times for which a particle keeps its nearest neighbors; the dependence of this distribution on temperature suggests a possible dynamical critical point. We identified and quantified the underlying spatio-temporal phenomena. The equilibrium liquid represents a hierarchical structure, a mosaic of long-living crystallites partially separated by less-ordered regions. The long-time dynamics of this structure is dominated by particles redistribution between dynamically and structurally different regions. We argue that these are generic features of locally ordered but globally disordered complex systems. In particular, these features must be taken into account by any coarse-grained theory of dynamics of complex fluids and glasses.
Grzybowski Bartosz A.
Mitus Antoni C.
Orlik Rafal
Patashinski Alexander Z.
Ratner Mark A.
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