Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-01-22
Physics
Condensed Matter
Disordered Systems and Neural Networks
5 pages, 4 figures
Scientific paper
10.1103/PhysRevE.70.041202
We perform extensive simulations of a binary mixture Lennard-Jones system subjected to a temperature jump in order to study the time evolution of fluctuations during aging. Analyzing data from 1500 different aging realizations, we calculate distributions of inherent structure energies for different aging times and contrast them with equilibrium. We find that the distributions initially become narrower and then widen as the system equilibrates. For deep quenches, fluctuations in the glassy system differ significantly from those observed in equilibrium. Simulation results are partially captured by theoretical predictions only when the final temperature is higher than the mode coupling temperature.
Saika-Voivod Ivan
Sciortino Francesco
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