Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2011-04-11
Phys. Rev. Lett. 107, 186407 (2011)
Physics
Condensed Matter
Disordered Systems and Neural Networks
4+ pages, 4 figures
Scientific paper
10.1103/PhysRevLett.107.186407
Experiments performed in the last years demonstrated slow relaxations and aging in the conductance of a large variety of materials. Here, we present experimental and theoretical results for conductance relaxation and aging for the case-study example of porous silicon. The relaxations are experimentally observed even at room temperature over timescales of hours, and when a strong electric field is applied for a time $t_w$, the ensuing relaxation depends on $t_w$. We derive a theoretical curve and show that all experimental data collapse onto it with a single timescale as a fitting parameter. This timescale is found to be of the order of thousands of seconds at room temperature. The generic theory suggested is not fine-tuned to porous silicon, and thus we believe the results should be universal, and the presented method should be applicable for many other systems manifesting memory and other glassy effects.
Amir Ariel
Borini Stefano
Imry Yoseph
Oreg Yuval
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