Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2003-07-25
Phys. Rev. B 70, 014202 (2004)
Physics
Condensed Matter
Disordered Systems and Neural Networks
Major rewrite; accepted for publication in PRB. (5 pages, 4 figures)
Scientific paper
10.1103/PhysRevB.70.014202
Using a non-local Monte Carlo algorithm, we study the aging of a fragile glass, being able to follow it up to equilibibrium down to 0.89 Tmc (Tmc is the Mode-Coupling temperature) and up to unprecedentedly large waiting times at lower temperatures. We show that the fluctuation-dissipation ratio is independent of the dynamics chosen and is compatible with a phase transition, and that the scaling behaviour of the aging part of the correlation supports the full-aging scenario.
Grigera Tomas S.
Martin-Mayor Victor
Parisi Giorgio
Verrocchio Paolo
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