Effect of the Uniform Random External Magnetic Field with Spatio-temporal Variation on Compensation in Ising Spin-1/2 Trilayered Square Ferrimagnet
Soham Chandra

TL;DR
This study uses Monte Carlo simulations to analyze how a spatio-temporally varying uniform random magnetic field affects compensation points and magnetic behaviors in trilayered Ising ferrimagnets, revealing field-induced phase changes and scaling relations.
Contribution
It introduces a detailed Monte Carlo analysis of the effects of spatio-temporal random magnetic fields on trilayered Ising ferrimagnets, highlighting the emergence and growth of ferrimagnetic islands without compensation.
Findings
Compensation points shift and can vanish with increasing field randomness.
Ferrimagnetic islands without compensation grow with field standard deviation.
Scaling relation for island area as a function of field standard deviation.
Abstract
Trilayered spin-1/2 Ising ferrimagnets are interesting thin systems for compensation phenomenon. In this work, a Metropolis Monte Carlo study is performed on the magnetic and thermodynamic response of such a system on square Bravais lattice, driven by uniform random external magnetic field with spatio-temporal variations. In two distinct configurations, the surface layers are made up of A and the mid-layer is made up of B atoms in a ABA type stacking while in AAB type stacking, the top-layer and the mid-layer is made up of A-atoms while the bottom layer is made up of B-atoms. The magnetic coupling between the like atoms (A-A and B-B) is ferromagnetic while between the unlike atoms (A-B), it is antiferromagnetic. For the time-dependent external uniform random field, the mean is always set to zero and the standard deviation is varied until spin-field energy is comparable to the dominant…
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Taxonomy
TopicsTheoretical and Computational Physics · Quantum many-body systems · Random Matrices and Applications
