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The Random First Order Transition (RFOT) theory of glasses provides a unified framework for explaining the observed correlations of the kinetic and thermodynamic behaviors of glass-forming liquids having a wide variety of chemical…

软凝聚态物质 · 物理学 2025-07-29 M. H. Brown , P. G. Wolynes

Despite the diversity of materials designated as active matter, virtually all active systems undergo a form of dynamic arrest when crowding and activity compete, reminiscent of the dynamic arrest observed in colloidal and molecular fluids…

软凝聚态物质 · 物理学 2019-05-28 Ludovic Berthier , Elijah Flenner , Grzegorz Szamel

Live cells have ambiguous mechanical properties. They were often described as either elastic solids or viscoelastic fluids and have recently been classified as soft glassy materials characterized by weak power-law rheology. Nonlinear…

软凝聚态物质 · 物理学 2013-05-30 Lars Wolff , Klaus Kroy

By means of molecular dynamics, we study the structure and the dynamics of a microscopic model for colloidal gels at low volume fractions. The presence of directional interactions leads to the formation of a persistent interconnected…

软凝聚态物质 · 物理学 2010-01-02 Emanuela Del Gado , Walter Kob

Glassy systems are disordered systems characterized by extremely slow dynamics. Examples are supercooled liquids, whose dynamics slow down under cooling. The specific pattern of slowing-down depends on the material considered. This…

无序系统与神经网络 · 物理学 2016-04-12 Le Yan

Transport networks play a key role across four realms of eukaryotic life: slime molds, fungi, plants, and animals. In addition to the developmental algorithms that build them, many also employ adaptive strategies to respond to stimuli,…

适应与自组织系统 · 物理学 2014-06-02 Johannes Gräwer , Carl D. Modes , Marcelo O. Magnasco , Eleni Katifori

Active glassy matter has recently emerged as a novel class of non-equilibrium soft matter, combining energy-driven, active particle movement with dense and disordered glass-like behavior. Here we review the state-of-the-art in this field…

软凝聚态物质 · 物理学 2019-10-02 Liesbeth M. C. Janssen

Living matter moves, deforms, and organizes itself. In cells this is made possible by networks of polymer filaments and crosslinking molecules that connect filaments to each other and that act as motors to do mechanical work on the network.…

软凝聚态物质 · 物理学 2020-12-15 Sebastian Fürthauer , Daniel J Needleman , Michael J. Shelley

Complex dynamical systems are often modeled as networks, with nodes representing dynamical units which interact through the network's links. Gene regulatory networks, responsible for the production of proteins inside a cell, are an example…

统计力学 · 物理学 2009-09-30 Zoran Levnajić

Network glasses are the physical prototype for many self-organized systems, ranging from proteins to computer science. Conventional theories of gases, liquids, and crystals do not account for the strongly material-selective character of the…

无序系统与神经网络 · 物理学 2007-05-23 P. Boolchand , G. Lucovsky , J. C. Phillips , M. F. Thorpe

Due to its non-crystalline nature, the glassy state has remained one the most exciting scientific challenges. To study such materials, Molecular Dynamics (MD) simulations have been extensively used because they provide a direct view into…

材料科学 · 物理学 2015-06-23 Mathieu Bauchy

Contractile biopolymer networks, such as the actomyosin meshwork of animal cells, are ubiquitous in living organisms. The active gel theory, which provides the thermodynamic framework for these materials, has been mostly used in conjunction…

软凝聚态物质 · 物理学 2025-01-13 Antoine Jallon , Pierre Recho , Jocelyn Étienne

We present numerical simulations of a model of cellulose consisting of long stiff rods, representing cellulose microfibrils, connected by stretchable crosslinks, representing xyloglucan molecules, hydrogen bonded to the microfibrils. Within…

无序系统与神经网络 · 物理学 2009-07-10 O. V. Manyuhina , A. Fasolino , M. I. Katsnelson

Filamentous bio-materials such as fibrin or collagen networks exhibit an enormous stiffening of their elastic moduli upon large deformations. This pronounced nonlinear behavior stems from a significant separation between the stiffnesses…

软凝聚态物质 · 物理学 2019-05-21 Robbie Rens , Carlos Villarroel , Gustavo Düring , Edan Lerner

We analyze numerically the training dynamics of deep neural networks (DNN) by using methods developed in statistical physics of glassy systems. The two main issues we address are (1) the complexity of the loss landscape and of the dynamics…

机器学习 · 统计学 2019-12-23 M. Baity-Jesi , L. Sagun , M. Geiger , S. Spigler , G. Ben Arous , C. Cammarota , Y. LeCun , M. Wyart , G. Biroli

There have been some interesting recent advances in understanding the notion of mechanical disorder in structural glasses and the statistical mechanics of these systems' low-energy excitations. Here we contribute to these advances by…

软凝聚态物质 · 物理学 2024-01-23 Tommaso Pettinari , Gustavo Düring , Edan Lerner

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

Active materials take advantage of their internal sources of energy to self-organize in an automated manner. This feature provides a novel opportunity to design micron-scale machines with minimal required control. However, self-organization…

软凝聚态物质 · 物理学 2021-01-22 Zijie Qu , Jialong Jiang , Heun Jin Lee , Rob Phillips , Shahriar Shadkhoo , Matt Thomson

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

The interplay between cytoskeletal architecture and the nonlinearity of the interactions due to bucklable filaments plays a key role in modulating the cell's mechanical stability and affecting its structural rearrangements. We study a model…

统计力学 · 物理学 2011-07-01 Shenshen Wang , Tongye Shen , Peter G. Wolynes
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