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<p>This research analyzed the magnetic behavior of Penta-graphene-like nanostructures using Monte Carlo simulations and the Blume–Emery–Griffiths model. The study exclusively examines the effects of key parameters including linear exchange coupling (𝐽), biquadratic coupling (<i>K</i>), external magnetic fields (<i>H</i>), and crystal fields (<i>D</i>) on the blocking temperature (<i>T</i><sub><i>B</i></sub>) and phase transitions. The results demonstrate that an increase in biquadratic coupling from <i>K</i> = 0.5 to <i>K</i> = 2.0 significantly raises <i>T</i><sub><i>B</i></sub>, while a crystal field |<i>D</i>| &gt;5 notably reduces the blocking temperature. The analysis reveals a phase transition threshold at <i>T</i> = 2.5-3.0, with characteristic shifts of the magnetic susceptibility peaks. These results establish quantitative relationships between interaction parameters and magnetic properties, thus providing control strategies to optimize material performance in high-density magnetic storage and spintronics applications.</p>

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Monte Carlo Analysis of Magnetic Properties in Penta-Graphene-Like Nanostructures using the Blume–Emery–Griffiths Model

  • 期刊论文

  • 发表日期：

    2025年10月13日

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  • Hussein Sabbah,
  • Z. Fadil,
  • R. El Fdil,
  • Chaitany Jayprakash Raorane,
  • Seong-Cheol Kim,
  • Khaled H. Mahmoud,
  • Abdulrahman A. Alsayyari

摘要

This research analyzed the magnetic behavior of Penta-graphene-like nanostructures using Monte Carlo simulations and the Blume–Emery–Griffiths model. The study exclusively examines the effects of key parameters including linear exchange coupling (𝐽), biquadratic coupling (K), external magnetic fields (H), and crystal fields (D) on the blocking temperature (TB) and phase transitions. The results demonstrate that an increase in biquadratic coupling from K = 0.5 to K = 2.0 significantly raises TB, while a crystal field |D| >5 notably reduces the blocking temperature. The analysis reveals a phase transition threshold at T = 2.5-3.0, with characteristic shifts of the magnetic susceptibility peaks. These results establish quantitative relationships between interaction parameters and magnetic properties, thus providing control strategies to optimize material performance in high-density magnetic storage and spintronics applications.