Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-04-08
Europhys. Lett., 68(6), 881 (2004)
Physics
Condensed Matter
Disordered Systems and Neural Networks
7 pages, 4 figures
Scientific paper
10.1209/epl/i2004-10276-4
We study the kinetics of domain growth in ferromagnets with random exchange interactions. We present detailed Monte Carlo results for the nonconserved random-bond Ising model, which are consistent with power-law growth with a variable exponent. These results are interpreted in the context of disorder barriers with a logarithmic dependence on the domain size. Further, we clarify the implications of logarithmic barriers for both nonconserved and conserved domain growth.
Paul Raja
Puri Sanjay
Rieger Heiko
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