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相关论文: Depinning with dynamic stress overshoots: Mean fie…

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A model of an elastic manifold driven through a random medium by an applied force F is studied focussing on the effects of inertia and elastic waves, in particular {\it stress overshoots} in which motion of one segment of the manifold…

无序系统与神经网络 · 物理学 2009-11-07 J. M. Schwarz , Daniel S. Fisher

The theory of the depinning transition of elastic manifolds in random media provides a framework for the statistical dynamics of dislocation systems at yield. We consider the case of a single flexible dislocation gliding through a random…

材料科学 · 物理学 2007-05-23 Stefano Zapperi , Michael Zaiser

Mean-field theory is an approximation replacing an extended system by a few variables. For depinning of elastic manifolds, these are the position of its center of mass $u$, and the statistics of the forces $F(u)$. There are two proposals to…

统计力学 · 物理学 2022-01-19 Cathelijne ter Burg , Kay Joerg Wiese

We consider elastic manifolds evolving on disordered energy potentials under the action of an external uniform driving. This scenario includes the cases of {\em depinning} and {\em yielding}, which provide paradigmatic examples of out of…

统计力学 · 物理学 2025-04-16 E. A. Jagla

We study the effect of long-range elastic interactions in the dynamical behavior of an elastic chain driven quasi-statically in a quenched random pinning potential and in the strong pinning limit. This is a generic situation occuring in…

无序系统与神经网络 · 物理学 2009-10-31 A. Tanguy , M. Gounelle , S. Roux

Predicting the future behaviour of complex systems exhibiting critical-like dynamics is often considered to be an intrinsically hard task. Here, we study the predictability of the depinning dynamics of elastic interfaces in random media…

统计力学 · 物理学 2026-02-03 Valtteri Haavisto , Marcin Mińkowski , Lasse Laurson

We study the depinning transitions of elastic strings in disordered media in two different cases. We consider the elastic forces to be of infinite range in one case, where the magnitude is proportional to the extension of the string. The…

统计力学 · 物理学 2011-08-09 Soumyajyoti Biswas , Bikas K. Chakrabarti

Critical hysteresis in ferromagnets is investigated through a $N$-component spin model with random anisotropies, more prevalent experimentally than the random fields used in most theoretical studies. Metastability, and the tensorial nature…

材料科学 · 物理学 2009-11-10 Rava A. da Silveira , Stefano Zapperi

The driven transport of plastic systems in various disordered backgrounds is studied within mean field theory. Plasticity is modeled using non-convex interparticle potentials that allow for phase slips. This theory most naturally describes…

无序系统与神经网络 · 物理学 2009-11-10 Karl Saunders , J. M. Schwarz , M. Cristina Marchetti , A. Alan Middleton

We study the dynamics of a viscoelastic medium driven through quenched disorder by expanding about mean field theory in $6-\epsilon$ dimensions. The model exhibits a critical point separating a region where the dynamics is hysteretic with a…

凝聚态物理 · 物理学 2009-11-07 M. Cristina Marchetti , Karin A. Dahmen

Developing a unified theory describing both ductile and brittle yielding constitutes a fundamental challenge of non-equilibrium statistical physics. Recently, it has been proposed that the nature of the yielding transition is controlled by…

软凝聚态物质 · 物理学 2024-11-22 Jack T. Parley , Peter Sollich

Extended systems driven through strong disorder are modeled generically using coarse-grained degrees of freedom that interact elastically in the directions parallel to the driving force and that slip along at least one of the directions…

无序系统与神经网络 · 物理学 2007-05-23 M. Cristina Marchetti , A. Alan Middleton , Karl Saunders , J. M. Schwarz

We identify a mechanism for a type of hysteresis which we predict to occur in a variety of depinning transitions. We show that the phenomenon of one-way hysteresis is generic to stress-overshoot models of the depinning transition, and we…

无序系统与神经网络 · 物理学 2023-02-07 Ron Maimon , J. M. Schwarz

We consider a model of an elastic manifold driven on a disordered energy landscape, with generalized long range elasticity. Varying the form of the elastic kernel by progressively allowing for the existence of zero-modes, the model…

无序系统与神经网络 · 物理学 2019-11-27 E. E. Ferrero , E. A. Jagla

We study a model of two layers, each consisting of a d-dimensional elastic object driven over a random substrate, and mutually interacting through a viscous coupling. For this model, the mean-field theory (i.e. a fully connected model)…

无序系统与神经网络 · 物理学 2009-01-07 Pierre Le Doussal , M. Cristina Marchetti , Kay Joerg Wiese

We have investigated the mean field dynamics of an overdamped viscoelastic medium driven through quenched disorder. The model introduced incorporates coexistence of pinned and sliding degrees of freedom and can exhibit continuous elastic…

无序系统与神经网络 · 物理学 2009-10-31 M. Cristina Marchetti , A. Alan Middleton , Thomas Prellberg

Phenomena including friction and earthquakes are complicated by the joint presence of disorder and non-linear instabilites, such as those triggered by the presence of velocity weakening. In [de Geus and Wyart, Phys. Rev. E 106, 065001…

无序系统与神经网络 · 物理学 2025-12-01 Tom W. J. de Geus , Matthieu Wyart

The motion of a particle in a correlated random potential under the influence of a driving force is investigated in mean field theory. The correlations of the disorder are characterized by a short distance cutoff and a power law decay with…

凝聚态物理 · 物理学 2009-10-28 Heinz Horner

Amorphization during severe plastic deformation has been observed in various crystalline materials, yet its underlying mechanisms remain poorly understood. This study introduces a novel phase-field model at the mesoscale, integrating…

材料科学 · 物理学 2025-10-10 Yuntong Huang , Shuyang Dai , Chuqi Chen , Yang Xiang

By means of a finite elements technique we solve numerically the dynamics of an amorphous solid under deformation in the quasistatic driving limit. We study the noise statistics of the stress-strain signal in the steady state plastic flow,…

软凝聚态物质 · 物理学 2017-01-13 Kamran Karimi , Ezequiel E. Ferrero , Jean-Louis Barrat
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