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相关论文: Renormalization group analysis of a continuous mod…

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We study a self-organized critical system coupled to an isotropic random fluid environment. The former is described by a strongly anisotropic continuous (coarse-grained) model introduced by Hwa and Kardar [Phys. Rev. Lett. {\bf 62} 1813…

统计力学 · 物理学 2023-12-15 N. V. Antonov , P. I. Kakin , N. M. Lebedev , A. Yu. Luchin

We study a self-organized critical system under influence of turbulent motion of the environment. The system is described by the anisotropic continuous stochastic equation proposed by Hwa and Kardar [{\it Phys. Rev. Lett.} {\bf 62}: 1813…

统计力学 · 物理学 2020-09-22 N. V. Antonov , N. M. Gulitskiy , P. I. Kakin , G. E. Kochnev

We study effects of random fluid motion on a system in a self-organized critical state. The latter is described by the continuous stochastic model, proposed by Hwa and Kardar [{\it Phys. Rev. Lett.} {\bf 62}: 1813 (1989)]. The advecting…

统计力学 · 物理学 2016-02-11 N. V. Antonov , P. I. Kakin

Self-organized criticality in the Hwa-Kardar model of "running sandpile" [Phys. Rev. A 45, 7002 (1992)] with a turbulent motion of the environment taken into account is studied with the field theoretic renormalization group (RG). The…

统计力学 · 物理学 2021-04-15 N. V. Antonov , N. M. Gulitskiy , P. I. Kakin , V. D. Serov

Critical behaviour of a fluid, subjected to strongly anisotropic turbulent mixing, is studied by means of the field theoretic renormalization group. As a simplified model, relaxational stochastic dynamics of a non-conserved scalar order…

统计力学 · 物理学 2008-11-26 N. V. Antonov , A. A. Ignatieva

Stochastic dynamics of a nonconserved scalar order parameter near its critical point, subject to random stirring and mixing, is studied using the field theoretic renormalization group. The stirring and mixing are modelled by a random…

统计力学 · 物理学 2009-11-11 N. V. Antonov , M. Hnatich , J. Honkonen

The effects of a randomly moving environment on a randomly growing interface are studied by the field theoretic renormalization group analysis. The kinetic growth of an interface (kinetic roughening) is described by the Kardar-Parisi-Zhang…

统计力学 · 物理学 2020-01-28 N. V. Antonov , P. I. Kakin , N. M. Lebedev

The paper addresses two unusual scaling regimes (types of critical behaviour) predicted by the field-theoretic renormalization group analysis for a self-organized critical system with turbulent motion of the environment. The system is…

统计力学 · 物理学 2023-02-07 N. V. Antonov , N. M. Gulitskiy , P. I. Kakin , M. N. Semeikin

The Kardar-Parisi-Zhang model of non-equilibrium critical behaviour (kinetic surface roughening) with turbulent motion of the environment taken into account is studied by the field theoretic renormalization group approach. The turbulent…

统计力学 · 物理学 2020-07-14 N. V. Antonov , N. M. Gulitskiy , P. I. Kakin , M. M. Kostenko

The influence of a random environment on the dynamics of a fluctuating rough surface is investigated using a field theoretic renormalization group. The environment motion is modelled by the stochastic Navier--Stokes equation, which includes…

统计力学 · 物理学 2025-02-18 N. V. Antonov , A. A. Babakin , N. M. Gulitskiy , P. I. Kakin

Critical behaviour of a system, subjected to strongly anisotropic turbulent mixing, is studied by means of the field theoretic renormalization group. Specifically, relaxational stochastic dynamics of a non-conserved multicomponent order…

统计力学 · 物理学 2012-06-11 N. V. Antonov , A. V. Malyshev

We study scaling properties of the model of fully developed turbulence for a compressible fluid, based on the stochastic Navier-Stokes equation, by means of the field theoretic renormalization group (RG). The scaling properties in this…

统计力学 · 物理学 2016-11-07 N. V. Antonov , N. M. Gulitskiy , M. M. Kostenko , T. Lučivjanský

Kinetic roughening of a randomly growing surface can be modelled by the Kardar-Parisi-Zhang equation with a time-independent (``spatially quenched'' or ``columnar'') random noise. In this paper, we use the field-theoretic renormalization…

统计力学 · 物理学 2023-12-15 N. V. Antonov , P. I. Kakin , M. A. Reiter

We study the critical behavior of the $O(n)$ model under steady shear flow using a dynamical renormalization group (RG) method. Incorporating the strong anisotropy in scaling ansatz, which has been neglected in earlier RG analyses, we…

统计力学 · 物理学 2026-05-20 Harukuni Ikeda , Hiroyoshi Nakano

A new ''static'' renormalization group approach to stochastic models of fluctuating surfaces with spatially quenched noise is proposed in which only time-independent quantities are involved. As examples, quenched versions of the…

统计力学 · 物理学 2020-01-28 N. V. Antonov , P. I. Kakin , N. M. Lebedev

The field theoretic renormalization group and the operator product expansion are applied to two models of passive scalar quantities (the density and the tracer fields) advected by a random turbulent velocity field. The latter is governed by…

统计力学 · 物理学 2015-01-05 N. V. Antonov , M. M. Kostenko

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 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

The field theoretic renormalization group (RG) and the operator product expansion (OPE) are applied to the model of a density field advected by a random turbulent velocity field. The latter is governed by the stochastic Navier-Stokes…

统计力学 · 物理学 2017-03-27 N. V. Antonov , N. M. Gulitskiy , M. M. Kostenko , T. Lučivjanský

We study the stochastic Kardar-Parisi-Zhang equation for kinetic roughening where the time-independent (columnar or spatially quenched) Gaussian random noise $f(t,{\bf x})$ is specified by the pair correlation function $\langle f(t,{\bf…

统计力学 · 物理学 2022-02-04 P. I. Kakin , M. A. Reiter , M. M. Tumakova , N. M. Gulitskiy , N. V. Antonov
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