Exploration of magnetic characteristics in perovskite LaCoO3 by particle swarm optimization combined with Monte Carlo method

被引：19
|
作者：
Li, Bo-chen [1 ]
Lv, Dan [2 ]
Wang, Wei [1 ]
Li, Hui-yi [2 ]
机构：
[1] Shenyang Univ Technol, Sch Sci, Shenyang 110870, Peoples R China
[2] Shenyang Univ Technol, Sch Environm & Chem Engn, Shenyang 110870, Peoples R China
来源：
PHYSICS LETTERS A | 2023年 / 464卷
关键词：
Perovskite LaCoO 3; Particle swarm optimization; Monte Carlo method; Ising model; Magnetization; Hysteresis loop; EXCHANGE COUPLINGS CALCULATION; PHASE-DIAGRAMS; TEMPERATURE; TRANSITION; TRANSPORT;
D O I：
10.1016/j.physleta.2023.128697
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In this paper, the new method combined with Monte Carlo simulation and particle swarm optimization is presented to explore the magnetic characteristics of perovskite LaCoO3 described by Ising model. We use the particle swarm optimization to obtain the appropriate physical parameters, such as Jab, Jaa and further adopt the Monte Carlo simulation to calculate the magnetization M, the magnetic susceptibility chi, the entropy S, the internal energy U of system under the influence of the anisotropy D and magnetic field h. The phase diagrams and the hysteresis loops are given. These results are also compared with the relevant theoretical and experimental results.(c) 2023 Elsevier B.V. All rights reserved.
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页数：10
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