Dynamical properties of random-field Ising model

被引:13
|
作者
Sinha, Suman [1 ]
Mandal, Pradipta Kumar [2 ]
机构
[1] Univ Calcutta, Dept Phys, Kolkata 700009, India
[2] Scottish Church Coll, Dept Phys, Kolkata 700006, India
来源
PHYSICAL REVIEW E | 2013年 / 87卷 / 02期
关键词
PHASE-TRANSITIONS; DOMAIN GROWTH; MONTE-CARLO; EQUILIBRATION; BEHAVIOR; STATE;
D O I
10.1103/PhysRevE.87.022121
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
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 the spin-spin correlation functions are studied in the nonequilibrium 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 for weak random fields, the two-dimensional random field Ising model possesses long-range order. Except for weak disorder, exchange interaction never wins over pinning interaction to establish long-range order in the system. DOI: 10.1103/PhysRevE.87.022121
引用
收藏
页数:7
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