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相关论文: Bonding and the dynamics of glassy network liquids

200 篇论文

We consider the Mode Coupling Theory (MCT) of Glass transition for a Binary fluid. The Equations of Nonlinear Fluctuating Hydrodynamics are obtained with a proper choice of the slow variables corresponding to the conservation laws. The…

统计力学 · 物理学 2009-11-07 Upendra Harbola , Shankar P. Das

We present mode-coupling equations for the description of the slow dynamics observed in supercooled molecular liquids close to the glass transition. The mode-coupling theory (MCT) originally formulated to study the slow relaxation in simple…

软凝聚态物质 · 物理学 2009-10-31 L. Fabbian , A. Latz , R. Schilling , F. Sciortino , P. Tartaglia , C. Theis

We divide glass and viscous liquid sciences into two major research areas, the first dealing with how to avoid crystals and so access the viscous liquid state, and the second dealing with how liquids behave when no crystals form. We review…

无序系统与神经网络 · 物理学 2009-11-13 C. Austen Angell

In network glass including chalcogenides, the network topology of microscopic structures can be tuned by changing the chemical compositions. As the composition is varied, an intermediate phase (IP) singularly different from the adjacent…

软凝聚态物质 · 物理学 2019-08-27 J. Quetzalcoatl Toledo-Marin , Le Yan

We attribute similarities in the rheology of many soft materials (foams, emulsions, slurries, etc.) to the shared features of structural disorder and metastability. A generic model for the mesoscopic dynamics of ``soft glassy matter'' is…

软凝聚态物质 · 物理学 2009-10-28 Peter Sollich , Francois Lequeux , Pascal Hebraud , Michael E Cates

The shapes of cooperatively rearranging regions in glassy liquids change from being compact at low temperatures to fractal or ``stringy'' as the dynamical crossover temperature from activated to collisional transport is approached from…

软凝聚态物质 · 物理学 2015-06-25 Jacob D. Stevenson , Joerg Schmalian , Peter G. Wolynes

We give general topological rules which very accurately predict the chemical trends in glass transition temperature $T_g$ variation as a function of cross-linking. In multicomponent glasses, these chemical trends permit to distinguish…

无序系统与神经网络 · 物理学 2009-10-31 Matthieu Micoulaut , Gerardo G. Naumis

We present a molecular dynamics study of the influence of knot complexity and molecular mass on glass formation upon cooling in knotted ring polymer melts. We find that cooperative motion, rigidity, and glassy dynamics can be tuned over a…

软凝聚态物质 · 物理学 2026-03-17 Yue-Tong Dong , Jack F. Douglas , Wen-Sheng Xu

A model for the supercooled liquid is considered by taking into account its solid like properties. We focus on how the long time dynamics is affected due to the coupling between the slowly decaying density fluctuations and the local…

软凝聚态物质 · 物理学 2009-11-13 Madhu Priya , Shankar P. Das

We introduce a new measure of the structure of a liquid which is the softness of the mean-field potential developed by us earlier. We find that this softness is sensitive to small changes in the structure. We then study its correlation with…

软凝聚态物质 · 物理学 2021-05-26 Manoj Kumar Nandi , Sarika Maitra Bhattacharyya

Understanding structural glasses using the Random First Order Transition theory requires a description in both real space and in time, taking into account sample history. A variety of nonlinear objects enter this description, in field…

无序系统与神经网络 · 物理学 2022-06-02 Peter G. Wolynes

We consider the link between fragility and elasticity that follows from analysis of the data for a set of soft-colloid materials consisting of deformable spheres reported by Mattsson et. al., in Nature vol 462, 83 (2009). Fragility index…

软凝聚态物质 · 物理学 2021-04-08 Arijit Mondal , Leishangthem Premkumar , Shankar P. Das

A thermodynamic measure of the fragility of liquids has recently (Ito et al ref.1) been defined in terms of the temperature dependence of the excess entropy of liquid over crystal, scaled by the excess entropy at the glass transition…

无序系统与神经网络 · 物理学 2007-05-23 L. -M. Martinez , C. A. Angell

Topological constraint theory has become an increasingly popular tool to predict the compositional dependence of glass properties or pinpoint promising compositions with tailored functionalities. This approach reduces complex disordered…

无序系统与神经网络 · 物理学 2020-06-16 Mathieu Bauchy

In the quest to understand how structure and dynamics are connected in glasses, a number of machine learning based methods have been developed that predict dynamics in supercooled liquids. These methods include both increasingly complex…

软凝聚态物质 · 物理学 2022-06-08 Rinske M. Alkemade , Emanuele Boattini , Laura Filion , Frank Smallenburg

The dynamical behavior of liquids is frequently characterized by the fragility, which can be defined from the temperature dependence of the shear viscosity, {\eta}. For a strong liquid, the activation energy for {\eta} changes little with…

材料科学 · 物理学 2017-09-13 Christopher E. Pueblo , Minhua Sun , Kenneth F. Kelton

In molecular liquids such as water, time-delayed influences between microscopic or mesoscopic variables are typically probed using time-correlation functions, which are symmetric under detailed balance and therefore blind to dynamical…

化学物理 · 物理学 2026-04-22 Leon Huet , Vittorio Del Tatto , Debarshi Banerjee , Alessandro Laio , Ali A. Hassanali

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…

The mode coupling theory (MCT) of glasses, while offering an incomplete description of glass transition physics, represents the only established route to first-principles prediction of rheological behavior in nonergodic materials such as…

软凝聚态物质 · 物理学 2009-09-29 J. M. Brader , Th. Voigtmann , M. Fuchs , R. G. Larson , M. E. Cates

We use theory and simulations to investigate the existence of amorphous glassy states in ultrasoft colloids. We combine the hyper-netted chain approximation with mode-coupling theory to study the dynamic phase diagram of soft repulsive…

软凝聚态物质 · 物理学 2010-12-16 Ludovic Berthier , Angel J. Moreno , Grzegorz Szamel