Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2009-02-09
Phys. Rev. Lett. 103, 126403 (2009)
Physics
Condensed Matter
Disordered Systems and Neural Networks
Scientific paper
Glassy systems are ubiquitous in nature, and are characterized by slow relaxations to equilibrium without a typical timescale, aging and memory effects. Understanding these is a long-standing problem in physics. We study the aging of the electron glass, a system showing remarkable slow relaxations in the conductance. We find that the broad distribution of relaxation rates leads to a universal relaxation of the form log(1+t_w/t) for the usual aging protocol, where t_w is the length of time the perturbation driving the system out-of-equilibrium was on, and t the time of measurement. These results agree well with several experiments performed on different glasses, and examining different physical observables, for times ranging from seconds to several hours. The suggested theoretical framework appears to offer a paradigm for aging in a broad class of glassy materials.
Amir Ariel
Imry Yoseph
Oreg Yuval
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