Dynamical Properties of Random Field Ising Model
Statistical Mechanics
2013-02-22 v3 Disordered Systems and Neural Networks
Abstract
Extensive Monte Carlo simulations are performed on a two-dimensional random field Ising model. The purpose of the present work is to study the disorder-induced changes in the properties of disordered spin systems. The time evolution of the domain growth, the order parameter and spin-spin correlation functions are studied in the non equilibrium regime. The dynamical evolution of the order parameter and the domain growth shows a power law scaling with disorder-dependent exponents. It is observed that, except for very small random fields, exchange interaction never wins over pinning interaction to establish long range order.
Cite
@article{arxiv.1207.6245,
title = {Dynamical Properties of Random Field Ising Model},
author = {Suman Sinha and Pradipta Kumar Mandal},
journal= {arXiv preprint arXiv:1207.6245},
year = {2013}
}
Comments
8 pages, 9 figures, Final and accepted version in Phys. Rev. E