Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-02-23
Phys. Rev. E 71, 061109 (2005)
Physics
Condensed Matter
Disordered Systems and Neural Networks
11 pages, 15 figures
Scientific paper
10.1103/PhysRevE.71.061109
We present results from extensive Monte Carlo (MC) simulations of domain growth in ferromagnets and binary mixtures with quenched disorder. These are modeled by the "random-bond Ising model" and the "dilute Ising model" with either nonconserved (Glauber) spin-flip kinetics or conserved (Kawasaki) spin-exchange kinetics. In all cases, our MC results are consistent with power-law growth with an exponent $\theta (T,\epsilon)$ which depends on the quench temperature $T$ and the disorder amplitude $\epsilon$. Such exponents arise naturally when the coarsening domains are trapped by energy barriers which grow logarithmically with the domain size. Our MC results show excellent agreement with the predicted dependence of $\theta (T,\epsilon)$.
Paul Raja
Puri Sanjay
Rieger Heiko
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