由单轴各向异性诱导的海森堡磁体相变：Wang-Landau和机器学习模拟

IF 1.3 4区物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY

JETP Letters Pub Date : 2025-09-12 DOI:10.1134/S0021364025607080

D. A. Druz’ev, A. A. Chubarova, P. V. Prudnikov

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引用次数: 0

摘要

利用Wang-Landau算法与机器学习方法、DBSCAN聚类和主成分分析相结合的方法，首次模拟了三维各向异性海森堡模型在外场中的关键特性。确定了分离单轴各向异性决定性影响区域的参数Δc的阈值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Phase Transitions in Heisenberg Magnets Induced by Uniaxial Anisotropy: Wang–Landau and Machine Learning Simulations

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Phase Transitions in Heisenberg Magnets Induced by Uniaxial Anisotropy: Wang–Landau and Machine Learning Simulations

The critical properties of a three-dimensional anisotropic Heisenberg model in an external field has been simulated for the first time using an approach combining the Wang–Landau algorithm with machine learning methods, DBSCAN clustering, and principal component analysis. The threshold value of the parameter Δ_c separating the regions of the decisive effect of uniaxial anisotropy has been determined.

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来源期刊

JETP Letters 物理-物理：综合

CiteScore

2.40

自引率

30.80%

发文量

164

审稿时长

3-6 weeks

期刊介绍： All topics of experimental and theoretical physics including gravitation, field theory, elementary particles and nuclei, plasma, nonlinear phenomena, condensed matter, superconductivity, superfluidity, lasers, and surfaces.