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相关论文: Non-perturbative renormalization group for the Kar…

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We present an analytical method, rooted in the non-perturbative renormalization group, that allows one to calculate the critical exponents and the correlation and response functions of the Kardar-Parisi-Zhang (KPZ) growth equation in all…

统计力学 · 物理学 2015-05-28 Léonie Canet , Hugues Chaté , Bertrand Delamotte , Nicolás Wschebor

We investigate the strong-coupling regime of the stationary Kardar-Parisi-Zhang equation for interfaces growing on a substrate of dimension d=1, 2, and 3 using a nonperturbative renormalization group (NPRG) approach. We compute critical…

统计力学 · 物理学 2013-08-12 Thomas Kloss , Léonie Canet , Nicolás Wschebor

We investigate the scaling regimes of the Kardar-Parisi-Zhang equation in the presence of spatially correlated noise with power law decay $D(p) \sim p^{-2\rho}$ in Fourier space, using a nonperturbative renormalization group approach. We…

统计力学 · 物理学 2014-02-11 Thomas Kloss , Léonie Canet , Bertrand Delamotte , Nicolás Wschebor

The Kardar-Parisi-Zhang (KPZ) equation of nonlinear stochastic growth in d dimensions is studied using the mapping onto a system of directed polymers in a quenched random medium. The polymer problem is renormalized exactly in a minimally…

凝聚态物理 · 物理学 2016-08-31 Michael Lassig

A recently introduced real space renormalization group technique, developed for the analysis of processes in the Kardar-Parisi-Zhang universality class, is generalized and tested by applying it to a different family of surface growth…

凝聚态物理 · 物理学 2016-08-31 G. Bianconi , M. A. Munoz , A. Gabrielli , L. Pietronero

A systematic analysis of the Burgers--Kardar--Parisi--Zhang equation in $d+1$ dimensions by dynamic renormalization group theory is described. The fixed points and exponents are calculated to two--loop order. We use the dimensional…

凝聚态物理 · 物理学 2011-12-08 Erwin Frey , Uwe Claus Täuber

We study the anisotropic Kardar-Parisi-Zhang equation using nonperturbative renormalization group methods. In contrast to a previous analysis in the weak-coupling regime we find the strong coupling fixed point corresponding to the isotropic…

统计力学 · 物理学 2014-12-24 Thomas Kloss , Léonie Canet , Nicolás Wschebor

{\em NOTE: This paper presented the first attempt to tackle the Kardar-Parisi-Zhang (KPZ) equation using non-perturbative renormalisation group (NPRG) methods. It exploited the most natural and frequently used approximation scheme within…

统计力学 · 物理学 2009-05-07 Léonie Canet

We analyze the anisotropic Kardar-Parisi-Zhang equation in general substrate dimensions $d'$ with spatially correlated noise, $\langle\tilde \eta({\bf{k}},\omega)\rangle=0$ and $\langle\tilde \eta({\bf{k}},\omega) \tilde…

凝聚态物理 · 物理学 2009-10-28 H. Jeong , B. Kahng , D. Kim

We introduce a non-perturbative renormalization approach which identifies stable fixed points in any dimension for the Kardar-Parisi-Zhang dynamics of rough surfaces. The usual limitations of real space methods to deal with anisotropic…

统计力学 · 物理学 2009-10-31 C. Castellano , M. Marsili , L. Pietronero

We have analyzed the Kuramoto-Sivashinsky equation with a stochastic noise term through a dynamic renormalization group calculation. For a system in which the lattice spacing is smaller than the typical wavelength of the linear instability…

凝聚态物理 · 物理学 2009-10-28 Rodolfo Cuerno , Kent Baekgaard Lauritsen

The effects of spatially correlated noise on a phenomenological equation equivalent to a non-local version of the Kardar-Parisi-Zhang equation are studied via the dynamic renormalization group (DRG) techniques. The correlated noise coupled…

统计力学 · 物理学 2009-10-31 Amit Kr. Chattopadhyay

We investigate the renormalization group approach to nonequilibrium field theory. We show that it is possible to derive nontrivial renormalization group flow from iterative coarse graining of a closed-time-path action. This renormalization…

凝聚态物理 · 物理学 2009-11-07 Juan Zanella , Esteban Calzetta

We investigate the Kardar--Parisi--Zhang (KPZ) equation in $d$ spatial dimensions with Gaussian spatially long--range correlated noise --- characterized by its second moment $R(\vec{x}-\vec{x}') \propto |\vec{x}-\vec{x}'|^{2\rho-d}$ --- by…

统计力学 · 物理学 2009-10-31 H. K. Janssen , U. C. Taeuber , E. Frey

The stability conditions of a renormalization group improved effective potential have been discussed in the case of scalar QED and QCD with a colorless scalar. We calculate the same potential in these models assuming the existence of…

高能物理 - 唯象学 · 物理学 2015-06-22 A. G. Dias , A. F. Ferrari , J. D. Gomez , A. A. Natale , A. G. Quinto

We apply a number of schemes which variationally improve perturbation theory for the Kardar-Parisi-Zhang equation in order to extract estimates for the dynamic exponent z. The results for the various schemes show the same broad features,…

凝聚态物理 · 物理学 2009-10-28 T. Blum , A. J. McKane

The celebrated Kardar-Parisi-Zhang (KPZ) equation describes the kinetic roughening of stochastically growing interfaces. In one dimension, the KPZ equation is exactly solvable and its statistical properties are known to an exquisite degree.…

统计力学 · 物理学 2023-12-25 Côme Fontaine , Francesco Vercesi , Marc Brachet , Léonie Canet

The Kardar-Parisi-Zhang (KPZ) equation is a celebrated non-linear stochastic dynamical equation yielding non-equilibrium universal scaling. It exhibits notorious non-perturbative aspects. The KPZ fixed point is strong-coupling, all the more…

统计力学 · 物理学 2025-12-11 Léonie Canet

The conserved Kardar-Parisi-Zhang equation in the presence of long-range nonlinear interactions is studied by the dynamic renormalization group method. The long-range effect produces new fixed points with continuously varying exponents and…

统计力学 · 物理学 2009-10-31 Youngkyun Jung , In-mook Kim , Jin Min Kim

We study the chiral critical behaviors of QED by using Non-Perturbative Renormalization Group (NPRG). Taking account of the non-ladder contributions, our flow equations are free from the gauge parameter ($\alpha$) dependence. We clarify the…

高能物理 - 唯象学 · 物理学 2009-10-30 Ken-Ichi Aoki , Keiichi Morikawa , Jun-Ichi Sumi , Haruhiko Terao , Masashi Tomoyose
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