IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v651y2024ics0378437124005156.html
   My bibliography  Save this article

Numerical study of the critical exponents and magnetic properties of the random field mixed spin

Author

Listed:
  • Mouhrach, T.
  • Fathi, A.
  • Elgarraoui, O.
  • Khairi, M.
  • Rachid, F.Z.
  • Sbiaai, K.
  • El Bouziani, M.

Abstract

By exploiting the Monte Carlo simulation technique, based on the Metropolis algorithm, we have investigated the mixed spin-1/2 and spin-1 Ising model in a simple cubic structure, with random magnetic field. This method was used to study phase diagrams, thermal variation of magnetizations and magnetic susceptibility, when the random field is bimodally and trimodally distribution. The results demonstrate that the system exhibits multiple qualitatively distinct types of phase diagram, depending on the values of the reduced random magnetic field H/J and the probability of distribution of this field p. When the values of the distribution probability and the reduced random field are insufficiently large, tricritical behavior manifests. Furthermore, the disorder of the system becomes difficult when the probability p is important in contrast to the random field, and the simple Ising system is found for H/J=0 and p=1. The values of the critical exponents associated with spontaneous magnetization and magnetic susceptibility have been well estimated and are very close to the universal values of the three-dimensional Ising model: β≈0.32218 and γ≈1.28182.

Suggested Citation

  • Mouhrach, T. & Fathi, A. & Elgarraoui, O. & Khairi, M. & Rachid, F.Z. & Sbiaai, K. & El Bouziani, M., 2024. "Numerical study of the critical exponents and magnetic properties of the random field mixed spin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 651(C).
  • Handle: RePEc:eee:phsmap:v:651:y:2024:i:c:s0378437124005156
    DOI: 10.1016/j.physa.2024.130006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437124005156
    Download Restriction: 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

    File URL: https://libkey.io/10.1016/j.physa.2024.130006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:651:y:2024:i:c:s0378437124005156. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.