群集伊辛模型中的量子润湿转变

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2024-08-30 DOI:10.1016/j.physa.2024.130068
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引用次数: 0

摘要

研究了具有相反边界场的一维簇伊辛模型中的润湿转变。在固定一个边界场的同时调整另一个边界场会导致相变的发生,而相变点取决于簇耦合。此外,相图被分为三个具有不同相变的区域。对于弱簇耦合和强簇耦合,相变是连续的,属于具有边界场的横向伊辛模型的普遍性。对于中间簇耦合,相变是一阶的。在强簇耦合区域,临界区域变得指数级小,即使晶格尺寸达到 104,也不存在渐近行为。我们提出了一种在无限长自旋链上求解能隙和相关长度的数值方法。利用这种方法,只要数值精度足够高,就能得到尽可能接近临界点的临界行为。根据这种方法,我们清楚地表明存在一个前渐近机制,其中的表观临界指数取决于簇耦合。此外,我们还得到了渐近临界区的精确能隙指数 zν 和相关长度指数 ν。
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Quantum wetting transition in the cluster Ising model

The wetting transition in the one-dimensional cluster Ising model with opposite boundary fields is studied. Tuning one boundary field while fixing another leads to the occurrence of phase transitions, where the transition points depend on the cluster coupling. Furthermore, the phase diagram is divided into three regions with different phase transition. For weak and strong cluster coupling, the phase transition is continuous and belongs to the same universality of transverse Ising model with boundary fields. For intermediate cluster coupling, the phase transition is first order. In the strong cluster coupling region, the critical region becomes exponentially small and the asymptotic behavior is absent even for lattice size up to 104. A numerical method to solve the energy gap and the correlation length is proposed on an infinite long spin chain. With this method, one can get the critical behavior as close to the critical point as possible provided that the numerical accuracy is high enough. In the light of this method, we clearly show that there is a preasymptotic regime in which the apparent critical exponents depend on the cluster coupling. Moreover, we obtain the accurate energy gap exponent zν and the correlation length exponent ν in the asymptotic critical region.

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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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