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We study numerically a monodisperse model of interacting classical particles predicted to exhibit a static liquid-glass transition. Using a dynamical Monte Carlo method we show that the model does not freeze into a glassy phase at low…

无序系统与神经网络 · 物理学 2011-11-10 Charlotte Gils , Helmut G. Katzgraber , Matthias Troyer

Hierarchical dynamics in glass-forming systems span multiple timescales, from fast vibrations to slow structural rearrangements, appearing in both supercooled fluids and glassy states. Understanding how these diverse processes interact…

软凝聚态物质 · 物理学 2025-05-28 Wensi Sun , Yanshuang Chen , Wencheng Ji , Yi Zhou , Hua Tong , Ke Chen , Xiaosong Chen , Hajime Tanaka , Peng Tan

The glass transition is considered within two toys models, a mean field spin glass and a directed polymer in a correlated random potential. In the spin glass model there occurs a dynamical transition, where the system condenses in a state…

无序系统与神经网络 · 物理学 2009-10-30 Th. M. Nieuwenhuizen

We show how dynamical heterogeneities in glass forming systems emerge as a consequence of the existence of dynamical constraints, and we offer an interpretation of the glass transition as an entropy crisis in trajectory space (space-time)…

统计力学 · 物理学 2009-11-07 Juan P. Garrahan , David Chandler

Metastability in open system dynamics describes the phenomena of initial relaxation to longlived metastable states before decaying to the asymptotic stable states. It has been predicted in continuous-time stochastic dynamics of both…

量子物理 · 物理学 2024-04-10 Yuan-De Jin , Chu-Dan Qiu , Wen-Long Ma

Binary mixtures of large and small particles with disparate size ratio exhibit a rich phenomenology at their glass transition points. In order to gain insights on such systems, we introduce and study a two-component version of the $p$-spin…

无序系统与神经网络 · 物理学 2016-08-03 Harukuni Ikeda , Atsushi Ikeda

Real-world dynamical systems often consist of multiple stochastic subsystems that interact with each other. Modeling and forecasting the behavior of such dynamics are generally not easy, due to the inherent hardness in understanding the…

机器学习 · 计算机科学 2020-01-14 Fan Yang , Ling Chen , Fan Zhou , Yusong Gao , Wei Cao

The dynamical activity K(t) of a stochastic process is the number of times it changes configuration up to time t. It was recently argued that (spin) glasses are at a first order dynamical transition where histories of low and high activity…

统计力学 · 物理学 2015-05-14 Jef Hooyberghs , Carlo Vanderzande

Kinetically constrained models (KCMs) have been used to study and understand the origin of glassy dynamics. Despite having trivial thermodynamic properties, their dynamics slows down dramatically at low temperatures while displaying…

统计力学 · 物理学 2011-07-01 Thomas Speck , Juan P. Garrahan

Amorphous materials exhibit structural heterogeneities that relax only on long timescales. Using machine learning techniques, we construct a Markov state model (MSM) for model glass formers that coarse-grains the dynamics into a…

软凝聚态物质 · 物理学 2022-08-31 Siavash Soltani , Chad W. Sinclair , Joerg Rottler

The critical behavior of a family of fully connected mean-field models with quenched disorder, the $M-p$ Ising spin glass, is analyzed, displaying a crossover between a continuous and a random first order phase transition as a control…

无序系统与神经网络 · 物理学 2015-05-20 F. Caltagirone , U. Ferrari , L. Leuzzi , G. Parisi , T. Rizzo

We consider the dynamics of a diluted mean-field spin glass model in the aging regime. The model presents a particularly rich heterogeneous behavior. In order to catch this behavior, we perform a **spin-by-spin analysis** for a **given…

无序系统与神经网络 · 物理学 2009-11-07 Andrea Montanari , Federico Ricci-Tersenghi

In this paper we revisit and extend the mapping between two apparently different classes of models. The first class contains the prototypical models described --at the mean-field level-- by the Random First Order Transition (RFOT) theory of…

统计力学 · 物理学 2012-06-29 Laura Foini , Florent Krzakala , Francesco Zamponi

Dynamics of many-body Hamiltonian systems with long range interactions is studied, in the context of the so called $\alpha-$HMF model. Building on the analogy with the related mean field model, we construct stationary states of the…

统计力学 · 物理学 2010-04-15 Tineke L. Van Den Berg , Duccio Fanelli , Xavier Leoncini

A general system of particles (of one or several species) on a one dimensional lattice with boundaries is considered. Two general behaviors of such systems are investigated. The stationary behavior of the system, and the dominant way of the…

统计力学 · 物理学 2015-06-24 Mohammad Khorrami , Amir Aghamohammadi

We introduce and analytically study a generalized p-spin glass like model that captures some of the main features of attractive glasses, recently found by Mode Coupling investigations, such as a glass/glass transition line and dynamical…

统计力学 · 物理学 2009-11-10 Antonio Caiazzo , Antonio Coniglio , Mario Nicodemi

In this review we define and discuss metastates, mathematical tools with general applicability to thermodynamic systems which are particularly useful when working with disordered or inhomogeneous short-range systems. In an infinite such…

无序系统与神经网络 · 物理学 2022-05-03 C. M. Newman , N. Read , D. L. Stein

The spatially-temporal model of an all-solid-state passively Q-switched oscillator with an active medium providing the stimulated Raman scattering is presented. The model does not presume a Gaussian shape of the cylindrically symmetric…

光学 · 物理学 2010-02-28 V. L. Kalashnikov , A. M. Malyarevich , K. V. Yumashev

We study thermally activated dynamics using functional renormalization within the field theory of randomly pinned elastic systems, a prototype for glasses. It appears through an essentially non-perturbative boundary layer in the running…

无序系统与神经网络 · 物理学 2007-05-23 Leon Balents , Pierre Le Doussal

We introduce a simple two-dimensional spin model with short-range interactions which shows glassy behavior despite a Hamiltonian which is completely homogeneous and possesses no randomness. We solve exactly for both the static partition…

统计力学 · 物理学 2009-10-30 M. E. J. Newman , Cristopher Moore