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The statistical correlations of two copies of a d-dimensional elastic manifold embedded in slightly different frozen disorder are studied using the Functional Renormalization Group to one-loop accuracy, order O(eps = 4-d). Determining the…

无序系统与神经网络 · 物理学 2007-09-11 O. Duemmer , P. Le Doussal

We studied the statics and dynamics of elastic manifolds in disordered media with long-range correlated disorder using functional renormalization group (FRG). We identified different universality classes and computed the critical exponents…

无序系统与神经网络 · 物理学 2017-08-23 Andrei A. Fedorenko

We consider the static properties of periodic structures in weak random disorder. We apply a functional renormalization group approach (FRG) and a Gaussian variational method (GVM) to study their displacement correlations. We focus in…

统计力学 · 物理学 2015-10-05 Laura Foini , Thierry Giamarchi

Exact numerical minimization of interface energies is used to test the functional renormalization group (FRG) analysis for interfaces pinned by quenched disorder. The fixed-point function R(u) (the correlator of the coarse-grained disorder)…

无序系统与神经网络 · 物理学 2013-05-29 A. Alan Middleton , Pierre Le Doussal , Kay Joerg Wiese

Using one loop functional RG we study two problems of pinned elastic systems away from their equilibrium or steady states. The critical regime of the depinning transition is investigated starting from a flat initial condition. It exhibits…

无序系统与神经网络 · 物理学 2009-11-11 Gregory Schehr , Pierre Le Doussal

We study the field theories for pinned elastic systems at equilibrium and at depinning. Their $\beta$-functions differ to two loops by novel ``anomalous'' terms. At equilibrium we find a roughness $\zeta=0.20829804 \epsilon + 0.006858…

凝聚态物理 · 物理学 2009-10-31 Pascal Chauve , Pierre Le Doussal , Kay Wiese

A randomly pinned elastic medium in two dimensions is modeled by a disordered fully-packed loop model. The energetics of disorder-induced dislocations is studied using exact and polynomial algorithms from combinatorial optimization.…

无序系统与神经网络 · 物理学 2016-08-31 Chen Zeng , Paul L. Leath

The correlation properties of the nonaffine elastic response in strongly disordered materials are investigated using the theory of correlated random matrices and supported by numerical models. While the nonaffine displacement field itself…

无序系统与神经网络 · 物理学 2026-04-09 D. A. Conyuh , D. V. Babin , I. O. Raikov , Y. M. Beltukov

Domain walls in magnets, vortex lattices in superconductors, contact lines at depinning, and many other systems can be modelled as an elastic system subject to quenched disorder. Its field theory possesses a well-controlled perturbative…

无序系统与神经网络 · 物理学 2022-08-16 Kay Joerg Wiese

We improve on the description of the relationship that exists between critical clusters in thermal systems and intermittency near the onset of chaos in low-dimensional systems. We make use of the statistical-mechanical language of…

统计力学 · 物理学 2017-10-06 M. Riquelme-Galvan , A. Robledo

Using the functional renormalization group (FRG) we study the thermal fluctuations of elastic objects, described by a displacement field u and internal dimension d, pinned by a random potential at low temperature T, as prototypes for…

无序系统与神经网络 · 物理学 2009-11-10 Leon Balents , Pierre Le Doussal

We study the random pinning model, in the case of a Gaussian environment presenting power-law decaying correlations, of exponent decay a>0. We comment on the annealed (i.e. averaged over disorder) model, which is far from being trivial, and…

数学物理 · 物理学 2013-11-07 Quentin Berger

The stability to dislocations of the elastic phase, or ``Bragg glass'', of a randomly pinned elastic medium in two dimensions is studied using the minimum-cost-flow algorithm for a disordered fully-packed loop model. The elastic phase is…

无序系统与神经网络 · 物理学 2009-10-31 Chen Zeng , Paul L. Leath , Daniel S. Fisher

Emig and Nattermann (Phys. Rev. Lett. 81, 1469 (1998)) have recently investigated the competition between lattice pinning and impurity pinning using a Renormalisation Group (RG) approach. For elastic objects of internal dimensions $2 < D <…

凝聚态物理 · 物理学 2009-10-31 Anusha Hazareesing , Jean-Philippe Bouchaud

The effect of disorder on flux lattices at equilibrium is studied quantitatively in the absence of free dislocations using both the Gaussian variational method and the renormalization group. Our results for the mean square relative…

凝聚态物理 · 物理学 2016-08-31 T. Giamarchi , P. Le Doussal

Recently we constructed a renormalizable field theory up to two loops for the quasi-static depinning of elastic manifolds in a disordered environment. Here we explore further properties of the theory. We show how higher correlation…

凝聚态物理 · 物理学 2009-11-10 Pierre Le Doussal , Kay Joerg Wiese

Discrete-spin systems with maximally random nearest-neighbor interactions that can be symmetric or asymmetric, ferromagnetic or antiferromagnetic, including off-diagonal disorder, are studied, for the number of states $q=3,4$ in $d$…

无序系统与神经网络 · 物理学 2018-09-18 Bora Atalay , A. Nihat Berker

A growth model which describes the deposition of particles (or the growth of a rigid crystal) on a disordered substrate is investigated. The dynamic renormalization group is applied to the stochastic growth equation using the Martin, Sigga,…

凝聚态物理 · 物理学 2009-10-22 Yan-Chr Tsai , Yonathan Shapir

The responses of a $1+\epsilon $ dimensional directed path to temperature and to potential variations are calculated exactly, and are governed by the same scaling form. The short scale decorrelation (strong correlation regime) leads to the…

无序系统与神经网络 · 物理学 2009-11-10 Rava A. da Silveira , Jean-Philippe Bouchaud

I address here the question of the mutual interplay of strong correlations and disorder in the system. I consider random version of the Hubbard model. Diagonal randomness is introduced {\it via} random on-site energies and treated by the…

无序系统与神经网络 · 物理学 2007-05-23 Karol I. Wysokinski
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