Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2011-07-10
Eur. Phys. J. E (2011) 34: 98
Physics
Condensed Matter
Disordered Systems and Neural Networks
13 pages, 8 figures
Scientific paper
10.1140/epje/i2011-11098-3
The interrelation of dynamic processes active on separated time-scales in glasses and viscous liquids is investigated using a model displaying two time-scale bifurcations both between fast and secondary relaxation and between secondary and structural relaxation. The study of the dynamics allows for predictions on the system relaxation above the temperature of dynamic arrest in the mean-field approximation, that are compared with the outcomes of the equations of motion directly derived within the Mode Coupling Theory (MCT) for under-cooled viscous liquids. Varying the external thermodynamic parameters a wide range of phenomenology can be represented, from a very clear separation of structural and secondary peak in the susceptibility loss to excess wing structures.
Crisanti Andrea
Leuzzi Luca
Paoluzzi Matteo
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