Magnetic properties of an Ising ladder-like graphene nanoribbon by using Monte Carlo method

Min Yang, Wei Wang, Bo-chen Li, Hao-jia Wu, Shao-qing Yang and Jun Yang

Physica A: Statistical Mechanics and its Applications, 2020, vol. 539, issue C

Abstract: In this paper, we proposed a ferrimagnetic mixed-spin (1, 3/2) Ising model to describe the ladder-like graphene nanoribbon. Using the Monte Carlo simulation, the effects of the anisotropies, exchange couplings, longitudinal magnetic field and temperature on the magnetic and thermodynamic properties were investigated. Typical temperature dependences of thermodynamics quantities such as magnetization, susceptibility and internal energy were presented under the influence of various physical parameters. The phase diagrams of blocking temperature were obtained in the different parameter planes. In particular, we also found some interesting double hysteresis loops behavior for certain physical parameters. Our results are consistent with those obtained by some theoretical and experimental researches.

Keywords: Ladder-like graphene nanoribbon; Magnetization; Susceptibility; Blocking temperature; Hysteresis loops; Monte Carlo (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:539:y:2020:i:c:s0378437119316620

DOI: 10.1016/j.physa.2019.122932

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