Effects of geometry, boundary condition and dynamical rules on the magnetic relaxation of Ising ferromagnet

Ishita Tikader (), Olivia Mallick () and Muktish Acharyya
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Ishita Tikader: Department of Physics, Presidency University, 86/1 College Street, Kolkata 700073, India
Olivia Mallick: Department of Physics, Presidency University, 86/1 College Street, Kolkata 700073, India
Muktish Acharyya: Department of Physics, Presidency University, 86/1 College Street, Kolkata 700073, India

International Journal of Modern Physics C (IJMPC), 2023, vol. 34, issue 11, 1-14

Abstract: We have studied the magnetic relaxation behavior of a two-dimensional Ising ferromagnet by Monte Carlo simulation. Our primary goal is to investigate the effects of the system’s geometry (area preserving), boundary conditions and dynamical rules on the relaxation behavior. The Glauber and Metropolis dynamical rules have been employed. The systems with periodic and open boundary conditions are studied. The major findings are the exponential relaxation and the dependence of relaxation time (τ) on the aspect ratio R (length over breadth having fixed area). A power law dependence (τ ∼ R−s) has been observed for larger values of aspect ratio (R). The exponent (s) has been found to depend linearly (s = aT + b) on the system’s temperature (T). The transient behaviors of the spin-flip density have been investigated for both surface and bulk/core. The size dependencies of saturated spin-flip density significantly differ for the surface and the bulk/core. Both the saturated bulk/core and saturated surface spin-flip density was found to follow the logarithmic dependence fd = a + blog(L) with the system size. The faster relaxation was observed for open boundary condition with any kind (Metropolis/Glauber) of dynamical rule. Similarly, Metropolis algorithm yields faster relaxation for any kind (open/periodic) of boundary condition.

Keywords: Ising ferromagnet; Monte Carlo simulation; Metropolis algorithm; Glauber dynamics; relaxation behavior; spin-flip density (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0129183123501474

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