JOURNAL ARTICLE

Ferrimagnetic Decorated Ternary Metallic Nanoislands with Hexagonal and Square Structures.

  • Published In: SPIN (2010-3247), 2024, v. 14, n. 4. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Mouhib, M.; Bri, S.; Belrhiti, M. D.; Mounir, H. 3 of 3

Abstract

We attempt to study the mixed-spin Ising on two decorated ferrimagnetic ternary metallic nanoislands possessing hexagonal and square structures, with a mixture of spin numbers 3/2, 1, and 1/2. Via the finite cluster approximation, the critical and compensation characteristics have been explored by implementing the influences of decorating and interface exchange couplings ( J 1 , J 2 ), along with the crystal fields ( D σ , D S ) on the phase diagrams and magnetizations. In the absence of crystal fields, the hexagonal structure exhibits only the second-order transition with one or two compensation points; meanwhile, the square structure undergoes the multiple transitions behavior (two or three transition temperatures) with a first-order transition at low temperatures. The inclusion of the crystal fields demonstrates the elevation of the ferrimagnetic region of order. Interestingly, we have uncovered under only the effect of D S acting on spin-1 sublattice the occurrence of the first-order with reentrance indicating two and three transitions for the hexagonal and square structures, respectively. Finally, under a uniform crystal field ( D σ = D S = D), the first-order keeps existing only for the square nanoisland. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:SPIN (2010-3247). 2024/12, Vol. 14, Issue 4, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2024
  • ISSN:20103247
  • DOI:10.1142/S2010324724500164
  • Accession Number:181152421
  • Copyright Statement:Copyright of SPIN (2010-3247) is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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