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相关论文: Fluctuations in glassy systems

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This article is a contribution to the understanding of fluctuations in the out of equilibrium dynamics of glassy systems. By extending theoretical ideas based on the assumption that time-reparametrization invariance develops asymptotically…

统计力学 · 物理学 2015-05-28 Claudio Chamon , Federico Corberi , Leticia F. Cugliandolo

We study spatio-temporal fluctuations in the non-equilibrium dynamics of the d dimensional O(N) in the large N limit. We analyse the invariance of the dynamic equations for the global correlation and response in the slow ageing regime under…

统计力学 · 物理学 2009-11-11 Claudio Chamon , Leticia F. Cugliandolo , Hajime Yoshino

We test a hypothesis for the origin of dynamical heterogeneity in slowly relaxing systems, namely that it emerges from soft (Goldstone) modes associated with a broken continuous symmetry under time reparametrizations. We do this by…

无序系统与神经网络 · 物理学 2013-10-30 Karina E. Avila , Horacio E. Castillo , Azita Parsaeian

Dynamical heterogeneities -- strong fluctuations near the glass transition -- are believed to be crucial to explain much of the glass transition phenomenology. One possible hypothesis for their origin is that they emerge from soft…

软凝聚态物质 · 物理学 2012-01-10 Karina E. Avila , Horacio E. Castillo , Azita Parsaeian

The aim of this report is to review a theoretical approach that has been proposed recently to describe dynamic fluctuations in glassy systems (work in collaboration with H. Castillo, C. Chamon, P. Charbonneau, J. L. Iguain, M. Kennett, D.…

无序系统与神经网络 · 物理学 2011-11-09 Leticia F. Cugliandolo

The presence of dynamical heterogeneities, i.e. nanometer-scale regions containing molecules rearranging cooperatively at very different rates compared to the bulk, is increasingly being recognized as crucial in our understanding of the…

无序系统与神经网络 · 物理学 2015-06-25 Horacio E. Castillo , Azita Parsaeian

We study numerically spatio-temporal fluctuations during the out-of-equilibrium relaxation of the three-dimensional Edwards-Anderson model. We focus on two issues. (1) The evolution of a growing dynamical length scale in the glassy phase of…

无序系统与神经网络 · 物理学 2009-11-13 Ludovic D. C. Jaubert , Claudio Chamon , Leticia F. Cugliandolo , Marco Picco

The presence of strong local fluctuations -- dynamical heterogeneities -- has been observed near the glass transitions of a wide variety of materials. Here we explore the possible presence of universality in those fluctuations. We compare…

无序系统与神经网络 · 物理学 2008-11-20 Azita Parsaeian , Horacio E. Castillo

In this talk I present some of the recent theoretical results that have been obtained on glassy systems like spin glasses or structural glasses. The physical principles at the basis of the theory are explained in a simple language (without…

无序系统与神经网络 · 物理学 2015-06-25 Giorgio Parisi

We study theoretically and numerically a family of multi-point dynamic susceptibilities that quantify the strength and characteristic lengthscales of dynamic heterogeneities in glass-forming materials. We use general theoretical arguments…

We show that the generating functional describing the slow dynamics of spin glass systems is invariant under reparametrizations of the time. This result is general and applies for both infinite and short range models. It follows simply from…

凝聚态物理 · 物理学 2009-11-07 Claudio Chamon , Malcolm P. Kennett , Horacio Castillo , Leticia F. Cugliandolo

The existence of a generalized fluctuation-dissipation theorem observed in simulations and experiments performed in various glassy materials is related to the concepts of local equilibration and heterogeneity in space. Assuming the…

统计力学 · 物理学 2009-11-10 Ludovic Berthier

We develop a field-theoretical description of dynamical heterogeneities and fluctuations in supercooled liquids close to the (avoided) MCT singularity. Using quasi-equilibrium arguments we eliminate time from the description and we…

统计力学 · 物理学 2011-09-23 Silvio Franz , Giorgio Parisi , Federico Ricci-Tersenghi , Tommaso Rizzo

We consider the problem of slow activation dynamics in glassy systems undergoing a random first order phase transition. Using an effective potential approach to supercooled liquids, we determine the spectrum of activation barriers for…

无序系统与神经网络 · 物理学 2013-05-29 Maxim Dzero , Joerg Schmalian , Peter G. Wolynes

The theory of glassy fluctuations can be formulated in terms of disordered effective potentials. While the properties of the average potentials are well understood, the study of the fluctuations has been so far quite limited. Close to the…

无序系统与神经网络 · 物理学 2020-06-17 Silvio Franz , Jacopo Rocchi

We introduce a set of theoretical ideas that form the basis for an analytical framework capable of describing nonequilibrium dynamics in glassy systems. We test the resulting scenario by comparing its predictions with numerical simulations…

We show the existence of intermittent dynamics in one of the simplest model of a glassy system: the two-state model, which has been used to explain the origin of the violation of the fluctuation-dissipation theorem. The dynamics is analyzed…

统计力学 · 物理学 2009-11-10 M. Naspreda , D. Reguera , A. Perez-Madrid , J. M. Rubi

In this article we discuss several aspects of the stochastic dynamics of spin models. The paper has two independent parts. Firstly, we explore a few properties of the multi-point correlations and responses of generic systems evolving in…

统计力学 · 物理学 2009-11-10 Guilhem Semerjian , Leticia F. Cugliandolo , Andrea Montanari

Cooperative events requiring anomalously large fluctuations are a defining characteristic for the onset of glassy relaxation across many materials. The importance of such intermittent events has been noted in systems as diverse as…

软凝聚态物质 · 物理学 2021-12-10 Stefan Boettcher , Paula A. Gago , Paolo Sibani

All liquids are topologically disordered materials; however, the degree of disorder can vary as a result of internal fluctuations in structure and topology. These fluctuations depend on both the composition and temperature of the system.…

统计力学 · 物理学 2018-08-15 Katelyn A. Kirchner , Seong H. Kim , John C. Mauro
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