Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-01-26
SPIE, Vol. 5469, proceedings of `Noise as a tool for studying materials', Symposium `Noise and Fluctuations', ed. by D. Popovi
Physics
Condensed Matter
Disordered Systems and Neural Networks
Contribution to "Noise as a tool for studying materials" (SPIE), Santa Fe, New Mexico, June 2003. 15 pages, 3 figs
Scientific paper
The aim of this report is to review a theoretical approach that has been proposed recently to describe dynamic fluctuations in glassy systems (work in collaboration with H. Castillo, C. Chamon, P. Charbonneau, J. L. Iguain, M. Kennett, D. Reichman and M. Sellitto). Firstly, I summarize some of the main features of the averaged and global non-equilibrium relaxation of glassy systems, weakly sheared viscous liquids and weakly tapped granular matter, and how these results have been successfully reproduced with a mean-field-like analytic approach. Secondly, I explain the outcome of more refined experimental and numerical measurements that point at examining the dynamics at a mesoscopic scale, and the role of noise measurements in this respect. Finally, I discuss how our theoretical approach can be confronted to new experimental and numerical tests.
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