Dynamic magnetic characteristics and hysteresis behaviors of X540@Y540: A Monte Carlo study

IF 2.8 3区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-02-14 DOI:10.1016/j.physa.2025.130446

Bo-chen Li , Wei Wang , Dan Lv

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引用次数: 0

Abstract

The dynamic magnetic characteristics and hysteresis behaviors of the double-layered fullerene-like X₅₄₀@Y₅₄₀ structure are explored by using the Monte Carlo method. By introducing the non-magnetic layers, the influence of interlayer interaction J_RKKY is studied. In the presence of the non-magnetic layer and dynamic magnetic field, the system displays a multitude of magnetic behaviors, and the compensation temperature T_comp emerges. To further examine the influence of physical parameters on the phase transition temperature T_C and compensation temperature T_comp, we present the curves and 2D color maps of the phase diagrams. Finally, we also investigate the dynamic hysteresis behavior. Due to the existence of relaxation behavior in magnetic systems, when physical parameters change, the position, area, and shape of the dynamic hysteresis loop all change, which is also the unique magnetic behavior exhibited by magnetic systems in dynamic magnetic fields.

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来源期刊

Physica A: Statistical Mechanics and its Applications 物理-物理：综合

CiteScore

7.20

自引率

9.10%

发文量

852

审稿时长

6.6 months

期刊介绍： Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.