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相关论文: From entropic to energetic barriers in glassy dyna…

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The slow relaxation and aging of glassy systems can be modelled as a Markov process on a simplified rough energy landscape: energy minima where the system tends to get trapped are taken as nodes of a random network, and the dynamics are…

无序系统与神经网络 · 物理学 2020-01-29 Riccardo Giuseppe Margiotta , Reimer Kühn , Peter Sollich

We study within a paradigmatic model for glassy dynamics, the Barrat-M\'ezard trap model, the effect of a nontrivial network structure in the connectivity among traps. Sparseness of this network has recently been shown to lead to…

无序系统与神经网络 · 物理学 2025-07-28 Diego Tapias , Peter Sollich

We present a simple mathematical framework for the description of the dynamics of glassy systems in terms of a random walk in a complex energy landscape pictured as a network of minima. We show how to use the tools developed for the study…

统计力学 · 物理学 2015-03-17 Paolo Moretti , Andrea Baronchelli , Alain Barrat , Romualdo Pastor-Satorras

One of the simplest models for the slow relaxation and aging of glasses is the trap model by Bouchaud and others, which represents a system as a point in configuration-space hopping between local energy minima. The time evolution depends on…

无序系统与神经网络 · 物理学 2018-08-01 Riccardo Giuseppe Margiotta , Reimer Kühn , Peter Sollich

We study the correlation and response dynamics of trap models of glassy dynamics, considering observables that only partially decorrelate with every jump. This is inspired by recent work on a microscopic realization of such models, which…

统计力学 · 物理学 2013-09-03 Peter Sollich

Trap models are intuitively appealing and often solvable models of glassy dynamics. In particular, they have been used to study aging and the resulting out-of-equilibrium fluctuation-dissipation relations between correlations and response…

无序系统与神经网络 · 物理学 2007-05-23 Peter Sollich

The description of activated relaxation of glassy systems in the multidimensional configurational space is a long-standing open problem. We develop a phenomenological description of the out-of-equilibrium dynamics of a model with a rough…

无序系统与神经网络 · 物理学 2014-10-09 Chiara Cammarota , Enzo Marinari

It is analyzed whether the potential energy landscape of a glass-forming system can be effectively mapped on a random model which is described in statistical terms. For this purpose we generalize the simple trap model of Bouchaud and…

无序系统与神经网络 · 物理学 2009-11-11 A. Heuer , B. Doliwa , A. Saksaengwijit

The predictions of a class of phenomenological trap models of supercooled liquids are tested via computer simulation of a model glass-forming liquid. It is found that a model with a Gaussian distribution of trap energies provides a good…

软凝聚态物质 · 物理学 2007-05-23 R. Aldrin Denny , David R. Reichman , Jean-Philippe Bouchaud

We present a simple mathematical model of glassy dynamics seen as a random walk in a directed, weighted network of minima taken as a representation of the energy landscape. Our approach gives a broader perspective to previous studies…

统计力学 · 物理学 2009-08-25 Andrea Baronchelli , Alain Barrat , Romualdo Pastor-Satorras

We study the emergence of a crossover from entropically driven to thermally activated dynamics in different versions of the `entropic' phase space model introduced by Barrat and M\'ezard, and previously considered in the zero temperature…

无序系统与神经网络 · 物理学 2009-11-10 Eric M. Bertin

We analyze the energy barriers that allow escapes from a given local minimum in a mean-field model of glasses. We perform this study by using the Kac-Rice method and computing the typical number of critical points of the energy function at…

无序系统与神经网络 · 物理学 2018-09-17 Valentina Ros , Giulio Biroli , Chiara Cammarota

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

Entropic aging consists in a progressive slowing down of the low-temperature dynamics of a glassy system due to the rarefaction of downwards directions on the energy landscape, as lower and lower energy levels are reached. A prototypical…

统计力学 · 物理学 2010-07-23 Eric Bertin

In simplified models of glasses we clarify the existence of two different kinds of activated dynamics, which coexist, with one of the two dominating over the other. One is the energy barrier hopping that is typically used to picture…

无序系统与神经网络 · 物理学 2022-08-16 Matthew R. Carbone , Marco Baity-Jesi

Aspects of the dynamical glass transition are considered within a mean field spin glass model. At the dynamical transition the the system condenses in a state of lower entropy. The difference, the information entropy or complexity, is…

凝聚态物理 · 物理学 2007-05-23 Th. M. Nieuwenhuizen

Here we introduce a variation of the trap model of glasses based on softness, a local structural variable identified by machine learning, in supercooled liquids. Softness is a particle-based quantity that reflects the local structural…

软凝聚态物质 · 物理学 2024-03-29 Sean A. Ridout , Indrajit Tah , Andrea J. Liu

We study the energy-landscape network of Lennard-Jones clusters as a model of a glass forming system. We find the stable basins and the first order saddles connecting them, and identify them with the network nodes and links, respectively.…

软凝聚态物质 · 物理学 2009-03-14 Shai Carmi , Shlomo Havlin , Chaoming Song , Kun Wang , Hernan A. Makse

We study glassy dynamics using a simulation of three soft Brownian particles confined to a two-dimensional circular region. If the circular region is large, the disks freely rearrange, but rearrangements are rarer for smaller system sizes.…

软凝聚态物质 · 物理学 2016-07-06 Xin Du , Eric R. Weeks

We numerically study the potential energy landscape of a fragile glassy system and find that the dynamic crossover corresponding to the glass transition is actually the effect of an underlying geometric transition caused by a qualitative…

无序系统与神经网络 · 物理学 2009-11-07 Tomas S. Grigera , Andrea Cavagna , Irene Giardina , Giorgio Parisi
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