Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2000-09-12
Phys. Rev. E 62, 7715 (2000)
Physics
Condensed Matter
Disordered Systems and Neural Networks
8 pages, 14 figures
Scientific paper
10.1103/PhysRevE.62.7715
In this paper we study the 3d frustrated lattice gas model in the annealed version, where the disorder is allowed to evolve in time with a suitable kinetic constraint. Although the model does not exhibit any thermodynamic transition it shows a diverging peak at some characteristic time in the dynamical non-linear susceptibility, similar to the results on the p-spin model in mean field and Lennard-Jones mixture recently found by Donati et al. [cond-mat/9905433]. Comparing these results to those obtained in the model with quenched interactions, we conclude that the critical behavior of the dynamical susceptibility is reminiscent of the thermodynamic transition present in the quenched model, and signaled by the divergence of the static non-linear susceptibility, suggesting therefore a similar mechanism also in supercooled glass-forming liquids.
Candia Antonio de
Coniglio Antonio
Fierro Annalisa
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