Long-range and non-decaying Ising model mapping of effective interactions in multilayer graphene within a microcavity

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Arian Gorza, Facundo Arreyes, Juan Sebastián Ardenghi
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引用次数: 0

Abstract

In this work, the effective interactions of N graphene layers within a microcavity are analyzed using the Schrieffer–Wolff transformation. Considering the vacuum fluctuations of the cavity field, electrons in different layers get coupled through Heisenberg-type interactions. Applying a mean-field approximation for the ground state energy, we obtain the set of measurable parameters at which the free energy is minimum, and we analyze the critical parameters at which phase transitions occur, where we consider an initial configuration where electrons are randomly distributed in the valence and conduction band. In particular, different geometrical and dynamical configurations are considered, such as N electrons with identical momentum and alternate momentum and alternate angles. The critical temperature as a function of the electron momentum angles and energies was obtained, showing a nontrivial dependence with the modes of oscillation. Finally, we discuss the critical temperature dependence with respect to the energy gap between electrons in different layers and for random angles.
微腔内多层石墨烯中有效相互作用的远程和非衰减Ising模型映射
在这项工作中,使用Schrieffer-Wolff变换分析了微腔内N层石墨烯层的有效相互作用。考虑腔场的真空涨落,不同层的电子通过海森堡型相互作用耦合。应用基态能量的平均场近似,我们获得了自由能最小的可测量参数集,并分析了发生相变的关键参数,其中我们考虑了电子随机分布在价带和导带中的初始构型。特别地,考虑了不同的几何构型和动力学构型,如N个电子具有相同动量和交变动量和交变角度。得到了临界温度作为电子动量角和能量的函数,显示出与振荡模态的非单调关系。最后,我们讨论了不同层间电子能隙和随机角度对临界温度的依赖关系。
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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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