Numerical Study of Aging in the Generalized Random Energy Model
Disordered Systems and Neural Networks
2009-10-31 v1
Abstract
Magnetizations are introduced to the Generalized Random Energy Model (GREM) and numerical simulations on ac susceptibility is made for direct comparison with experiments in glassy materials. Prominent dynamical natures of spin glasses, {\it i.e.}, {\em memory} effect and {\em reinitialization}, are reproduced well in the GREM. The existence of many layers causing continuous transitions is very important for the two natures. Results of experiments in other glassy materials such as polymers, supercooled glycerol and orientational glasses, which are contrast to those in spin glasses, are interpreted well by the Single-layer Random Energy Model.
Cite
@article{arxiv.cond-mat/0010443,
title = {Numerical Study of Aging in the Generalized Random Energy Model},
author = {Munetaka Sasaki and Koji Nemoto},
journal= {arXiv preprint arXiv:cond-mat/0010443},
year = {2009}
}
Comments
8 pages, 9 figures, to be submitted to J. Phys. Soc. Jpn