Calculating the exchange interaction parameters between spins in MnF2 compound by Green’s function method

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Wen-Rui Sun, Xu Qiu, Ai-Yuan Hu
{"title":"Calculating the exchange interaction parameters between spins in MnF2 compound by Green’s function method","authors":"Wen-Rui Sun,&nbsp;Xu Qiu,&nbsp;Ai-Yuan Hu","doi":"10.1016/j.physa.2025.130463","DOIUrl":null,"url":null,"abstract":"<div><div>We investigate the magnetic properties of the compound MnF <span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> by means of the double-time Green<span><math><msup><mrow></mrow><mrow><mo>′</mo></mrow></msup></math></span>s function method. Using the Tyablikov decoupling approximation, we derive analytical expressions for the system<span><math><msup><mrow></mrow><mrow><mo>′</mo></mrow></msup></math></span>s phase transition temperature <span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>N</mi></mrow></msub></math></span>, the magnetic susceptibility at the phase transition point <span><math><mrow><mi>χ</mi><mrow><mo>(</mo><msub><mrow><mi>T</mi></mrow><mrow><mi>N</mi></mrow></msub><mo>)</mo></mrow></mrow></math></span> under zero field, and the Curie–Weiss temperature <span><math><mi>θ</mi></math></span>. In principle, any two of them can be used to determine the nearest-neighbor <span><math><msub><mrow><mi>J</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> and next-nearest-neighbor <span><math><msub><mrow><mi>J</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> in terms of the experimentally measured <span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>N</mi></mrow></msub></math></span>, <span><math><mrow><mi>χ</mi><mrow><mo>(</mo><msub><mrow><mi>T</mi></mrow><mrow><mi>N</mi></mrow></msub><mo>)</mo></mrow></mrow></math></span> and <span><math><mi>θ</mi></math></span>. All three possible combinations are tested: using <span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>N</mi></mrow></msub></math></span> and <span><math><mrow><mi>χ</mi><mrow><mo>(</mo><msub><mrow><mi>T</mi></mrow><mrow><mi>N</mi></mrow></msub><mo>)</mo></mrow></mrow></math></span> are named as scenario I, <span><math><mrow><mi>χ</mi><mrow><mo>(</mo><msub><mrow><mi>T</mi></mrow><mrow><mi>N</mi></mrow></msub><mo>)</mo></mrow></mrow></math></span> and <span><math><mi>θ</mi></math></span> named as scenario II, and <span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>N</mi></mrow></msub></math></span> and <span><math><mi>θ</mi></math></span> named as scenario III. Fitting experimental data shows that the results of scenario I are in good agreement with the experiment, indicating that it is reasonable to use <span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>N</mi></mrow></msub></math></span> and <span><math><mrow><mi>χ</mi><mrow><mo>(</mo><msub><mrow><mi>T</mi></mrow><mrow><mi>N</mi></mrow></msub><mo>)</mo></mrow></mrow></math></span> to determine the values of <span><math><msub><mrow><mi>J</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> and <span><math><msub><mrow><mi>J</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>. At the same time, the rationality of these three physical quantities in determining the values of <span><math><msub><mrow><mi>J</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> and <span><math><msub><mrow><mi>J</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> is demonstrated, and the conclusion is that: when selecting the physical quantity to determine the value of the exchange interaction parameter, the effect of <span><math><mrow><mi>χ</mi><mrow><mo>(</mo><msub><mrow><mi>T</mi></mrow><mrow><mi>N</mi></mrow></msub><mo>)</mo></mrow></mrow></math></span> is better than other physical quantities.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"664 ","pages":"Article 130463"},"PeriodicalIF":2.8000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378437125001153","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

We investigate the magnetic properties of the compound MnF 2 by means of the double-time Greens function method. Using the Tyablikov decoupling approximation, we derive analytical expressions for the systems phase transition temperature TN, the magnetic susceptibility at the phase transition point χ(TN) under zero field, and the Curie–Weiss temperature θ. In principle, any two of them can be used to determine the nearest-neighbor J1 and next-nearest-neighbor J2 in terms of the experimentally measured TN, χ(TN) and θ. All three possible combinations are tested: using TN and χ(TN) are named as scenario I, χ(TN) and θ named as scenario II, and TN and θ named as scenario III. Fitting experimental data shows that the results of scenario I are in good agreement with the experiment, indicating that it is reasonable to use TN and χ(TN) to determine the values of J1 and J2. At the same time, the rationality of these three physical quantities in determining the values of J1 and J2 is demonstrated, and the conclusion is that: when selecting the physical quantity to determine the value of the exchange interaction parameter, the effect of χ(TN) is better than other physical quantities.
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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