Metamagnetic anomalies in the kinetic Ising model

Xiaoling Shi and Peisheng Liu

Physica A: Statistical Mechanics and its Applications, 2019, vol. 536, issue C

Abstract: The effective-field theory is used to study the anomalous metamagnetic behavior of a uniaxial ferromagnetic film, which has been observed in the recent experiment Riego et al. (2017). Similar to experimental findings, the sidebands phenomena of the dynamic susceptibility have been shown in certain ranges of the bias field, as well as the amplitude and period of the oscillating magnetic field. The mechanism and precise nature of the anomalous metamagnetic behavior have been explored in detail as well. We also compare the effective-field theory results to those produced using mean-field theory and Monte Carlo simulations. We find that the analytic treatment of the effective-field theory is in good qualitative agreement with exact results of the Monte Carlo simulations.

Keywords: Kinetic Ising model; Effective-field theory; Metamagnetic anomalies (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119306065
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:536:y:2019:i:c:s0378437119306065

DOI: 10.1016/j.physa.2019.04.234

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 ().