Dynamic magnetic properties of the mixed-spin (5/2, 2) Ising model with an MBene-like structure
Bo-wen Xiao,
Si-yu Huang,
Ying An and
Wei Wang
Physica A: Statistical Mechanics and its Applications, 2025, vol. 663, issue C
Abstract:
MBene is a branch of the new two-dimensional (2D) material MXene. Due to its high stability, good electrical conductivity, and excellent electrocatalytic performance, MBene shows great potential in energy storage and electrocatalysis. In this work, we used Monte Carlo simulation to study an MBene-like material described by a mixed-spin (5/2, 2) Ising model. We discuss the effects on the dynamic magnetic characteristics of the system, including dynamic order parameters and hysteresis loops, caused by the crystal field and exchange coupling. We found that the system can exhibit the behavior of double compensation temperatures. Increasing the absolute values of the exchange coupling or decreasing the absolute values of the crystal field can increase the coercivity and the area of the dynamic hysteresis loop.
Keywords: MBene-like; Ising model; Compensation temperature; Dynamic hysteresis; Monte Carlo method (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437125000998
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:663:y:2025:i:c:s0378437125000998
DOI: 10.1016/j.physa.2025.130447
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().