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相关论文: Real-space renormalization group for the random-fi…

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We include spontaneous symmetry breaking into the functional renormalization group (RG) equations for the irreducible vertices of Ginzburg-Landau theories by augmenting these equations by a flow equation for the order parameter, which is…

统计力学 · 物理学 2011-01-07 Andreas Sinner , Nils Hasselmann , Peter Kopietz

We formulate a real-space renormalization group (RG) approach for efficient numerical analysis of the low-temperature hopping dynamics in energy-disordered lattices. The approach explicitly relies on the time-scale separation of the…

介观与纳米尺度物理 · 物理学 2013-09-16 Kirill A. Velizhanin , Andrei Piryatinski , Vladimir Y. Chernyak

In this paper, we introduce new reference observables to establish a scaling formula in the renormalization group equation. Using the transfer matrix method, we calculate the two point observables of the one dimensional Ising model without…

概率论 · 数学 2024-05-14 Cui Kaiyuan , Gong Fuzhou

Jamming occurs in granular materials, as well as in emulsions, dense suspensions, and other amorphous, particulate systems. When the packing fraction $\phi$, defined as the ratio of particle volume to system volume, is increased past a…

软凝聚态物质 · 物理学 2019-09-11 Abram H. Clark

The field theoretic renormalization group (RG) is applied to the model of a near-equilibrium fluid coupled to a scalar field (like temperature or density of an impurity) which is active, that is, influencing the dynamics of the fluid…

统计力学 · 物理学 2021-09-15 N. V. Antonov , M. M. Kostenko

We explore how minimal neural networks can invert the renormalization group (RG) coarse-graining procedure in the two-dimensional Ising model, effectively ``dreaming up'' microscopic configurations from coarse-grained states. This task -…

统计力学 · 物理学 2026-05-08 Adam Rançon , Ulysse Rançon , Tomislav Ivek , Ivan Balog

The density matrix renormalization group (DMRG) is applied to some one-dimensional reaction-diffusion models in the vicinity of and at their critical point. The stochastic time evolution for these models is given in terms of a non-symmetric…

统计力学 · 物理学 2011-10-11 Enrico Carlon , Malte Henkel , Ulrich Schollwoeck

We have developed a very efficient numerical algorithm of the strong disorder renormalization group method to study the critical behaviour of the random transverse-field Ising model, which is a prototype of random quantum magnets. With this…

无序系统与神经网络 · 物理学 2011-09-21 István A. Kovács , Ferenc Iglói

We study the effect of thermal fluctuations on the wetting phase transitions of infinite order and of continuously varying order, recently discovered within a mean-field density-functional model for three-phase equilibria in systems with…

统计力学 · 物理学 2013-08-21 J. O. Indekeu , K. Koga , H. Hooyberghs , A. O. Parry

The renormalization group (RG) corrected gravitational action in Einstein-Hilbert and other truncations is considered. The running scale of the renormalization group is treated as a scalar field at the level of the action and determined in…

广义相对论与量子宇宙学 · 物理学 2015-06-04 Silvije Domazet , Hrvoje Stefancic

We apply the Nozieres-Gallet dynamic renormalization group (RG) scheme to a continuum equilibrium model of a d-dimensional surface relaxing by linear surface tension and linear surface diffusion, and which is subject to a lattice potential…

统计力学 · 物理学 2009-11-07 Rodolfo Cuerno , Esteban Moro

We consider the effects of weak measurements on the quantum critical ground state of the one-dimensional (a) tricritical and (b) critical quantum Ising model, by measuring in (a) the local energy and in (b) the local spin operator in a…

统计力学 · 物理学 2024-09-04 Rushikesh A. Patil , Andreas W. W. Ludwig

We describe how to evaluate approximately various physical interesting quantities in random Ising systems by direct renormalization of a finite system. The renormalization procedure is used to reduce the number of degrees of freedom to a…

统计力学 · 物理学 2018-09-19 Avishay Efrat , Moshe Schwartz

We formulate a renormalization group (RG) for the interaction parameters of the general two-body problem and show how a limit cycle emerges in the RG flow if the interaction approaches an inverse square law. This limit cycle generates a…

统计力学 · 物理学 2007-05-23 Erich J. Mueller , Tin-Lun Ho

We construct zero-temperature geometries that interpolate between a Lifshitz fixed point in the UV and an IR phase that breaks spatial rotations but preserves translations. We work with a simple holographic model describing two massive…

高能物理 - 理论 · 物理学 2015-10-07 Sera Cremonini , Xi Dong , Junchen Rong , Kai Sun

We study quantum phase transitions in transverse-field Ising spin chains in which the couplings are random but hyperuniform, in the sense that their large-scale fluctuations are suppressed. We construct a one-parameter family of disorder…

统计力学 · 物理学 2019-10-23 Philip J. D. Crowley , C. R. Laumann , Sarang Gopalakrishnan

A defining feature of a symmetry protected topological phase (SPT) in one-dimension is the degeneracy of the Schmidt values for any given bipartition. For the system to go through a topological phase transition separating two SPTs, the…

强关联电子 · 物理学 2018-05-02 Evert P. L. van Nieuwenburg , Andreas P. Schnyder , Wei Chen

The Wilsonian renormalization group (RG) method is applied to finite temperature systems for the study of non-perturbative methods in the field theory. We choose the O(N) linear sigma model as the first step. Under the local potential…

高能物理 - 唯象学 · 物理学 2007-05-23 T. Umekawa , K. Naito , M. Oka

We study a generic problem of dissipative quantum mechanics, a small local quantum system with discrete states coupled in an arbitrary way (i.e. not necessarily linear) to several infinitely large particle or heat reservoirs. For both…

介观与纳米尺度物理 · 物理学 2009-11-13 Herbert Schoeller

Exploring and understanding topological phases in systems with strong distributed disorder requires developing fundamentally new approaches to replace traditional tools such as topological band theory. Here, we present a general real-space…

无序系统与神经网络 · 物理学 2024-04-25 Zhe Zhang , Yifei Guan , Junda Wang , Benjamin Apffel , Aleksi Bossart , Haoye Qin , Oleg V. Yazyev , Romain Fleury