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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

In this paper we study the formation of nanodrops on curved surfaces (both convex and concave) by means of molecular dynamics simulations, where the particles interact via a Lennard-Jones potential. We find that the contact angle is not…

流体动力学 · 物理学 2017-07-14 Shantanu Maheshwari , Martin van der Hoef , Detlef Lohse

The fragility, that controls the temperature-dependent viscous properties of liquids as the glass transition is approached, in various glass-forming liquids with different atomic interactions and densities is investigated by molecular…

软凝聚态物质 · 物理学 2016-08-03 Lijin Wang , Pengfei Guan , W. H. Wang

Although Boltzmann's definition of entropy, and, hence, the existence of negative temperatures, are widely accepted, we will show scenarios which apparently at a first glance are inconsistent with our normal notion of thermodynamics. This…

统计力学 · 物理学 2022-04-06 Wolfgang Rudolf Bauer

Fluctuating entropy production is studied for a set of linearly coupled complex fields. The general result is applied to non-equilibrium fluctuating hydrodynamic equations for coarse-grained fields (density, temperature and velocity), in…

统计力学 · 物理学 2012-07-09 Giacomo Gradenigo , Andrea Puglisi , Alessandro Sarracino

We analyze numerically the critical properties of a two-dimensional discretized random surface with extrinsic curvature embedded in a three-dimensional space. The use of the toroidal topology enables us to enforce the non-zero external…

高能物理 - 格点 · 物理学 2009-10-22 J. Ambjorn , A , Irback , J. Jurkiewicz , B. Petersson

The relaxation dynamics of glass-forming systems shows a multitude of features that are absent in normal liquids, such as non-exponential relaxation and a strong temperature-dependence of the relaxation time. Connecting these dynamic…

无序系统与神经网络 · 物理学 2019-04-03 Zhen Wei Wu , Walter Kob , Wei-Hua Wang , Limei Xu

Using cyclic shear to drive a two dimensional granular system, we determine the structural characteristics for different inter-particle friction coefficients. These characteristics are the result of a competition between mechanical…

软凝聚态物质 · 物理学 2021-01-06 Xulai Sun , Walter Kob , Raphael Blumenfeld , Hua Tong , Yujie Wang , Jie Zhang

Dynamics near the surface of glasses is generally much faster than in the bulk. Neglecting static perturbations of structure at the surface, we use random first order transition theory to show the free energy barrier for activated motion…

软凝聚态物质 · 物理学 2009-11-13 Jacob D. Stevenson , Peter G. Wolynes

We discuss the use of a ferromagnetic spin model on a random graph to model granular compaction. A multi-spin interaction is used to capture the competition between local and global satisfaction of constraints characteristic for geometric…

无序系统与神经网络 · 物理学 2009-11-07 Johannes Berg , Anita Mehta

Motivated by a freely suspended graphene and polymerized membranes in soft and biological matter we present a detailed study of a tensionless elastic sheet in the presence of thermal fluctuations and quenched disorder. The manuscript is…

软凝聚态物质 · 物理学 2018-09-20 Pierre Le Doussal , Leo Radzihovsky

This paper studies a class of probabilistic models on graphs, where edge variables depend on incident node variables through a fixed probability kernel. The class includes planted con- straint satisfaction problems (CSPs), as well as more…

概率论 · 数学 2013-07-01 Emmanuel Abbe , Andrea Montanari

We present an approach to approximating static properties of glasses without experimental inputs rooted in the first-principles random structure sampling. In our approach, the glassy system is represented by a collection (composite) of…

材料科学 · 物理学 2025-10-02 Laszlo Wolf , Andrew Novick , Vladan Stevanović

We study the fingering instability of the interface between two miscible fluids, a colloidal suspension and its own solvent. The temporal evolution of the interface in a Hele-Shaw cell is found to be governed by the competition between the…

软凝聚态物质 · 物理学 2014-03-31 Domenico Truzzolillo , Serge Mora , Christelle Dupas , Luca Cipelletti

The gauge principle as applied in field theories for particle physics recognizes redundant degrees of freedom. Some time ago this author introduced a frustration based locally preferred structure (LPS) model of the glass transition. Here we…

无序系统与神经网络 · 物理学 2019-12-17 Chris B. Nelson

The time evolution of the pore size distributions and mechanical properties of amorphous solids at constant pressure is studied using molecular dynamics simulations. The porous glasses were initially prepared at constant volume conditions…

软凝聚态物质 · 物理学 2018-10-22 Nikolai V. Priezjev , Maxim A. Makeev

We use the general statement of the second law applied to an isolated system, the glass in an extremely large medium, to prove that the entropy of the glass must decrease with time during its relaxation towards the supercooled liquid state.…

无序系统与神经网络 · 物理学 2009-09-04 P. D. Gujrati

In a glassy system different degrees of freedom have well-separated characteristic times, and are described by different temperatures. The stationary state is essentially non-equilibrium. A generalized statistical thermodynamics is…

无序系统与神经网络 · 物理学 2007-05-23 A. E. Allahverdyan , Th. M. Nieuwenhuizen

We show the existence of fragile-to-strong transitions in kinetically constrained systems by studying the equilibrium and out-of-equilibrium dynamics of a generic constrained Ising spin chain which interpolates between the symmetric and…

统计力学 · 物理学 2009-11-07 Arnaud Buhot , Juan P. Garrahan

Broken-symmetry-induced order parameters account for many phenomena in condensed matter physics. For spin glasses, such a framework dictates its theoretical construction, whereas experiments have only established dynamical behaviors such as…

无序系统与神经网络 · 物理学 2026-05-25 Margarita G. Dronova , Feng Ye , Zachary J. Morgan , Yishu Wang , Yejun Feng
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