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Biological cells can actively tune their intracellular architecture according to their overall shape. Here we explore the rheological implication of such coupling in a minimal model of a dense cellular material where each cell exerts an…

软凝聚态物质 · 物理学 2022-04-13 Shao-Zhen Lin , Matthias Merkel , Jean-François Rupprecht

Motivated by recent experiments showing that stiff biopolymer gels exhibit highly unusual negative normal elastic stresses, we develop a computational model for stiff polymer networks subject to large strains. In all cases, we find that…

软凝聚态物质 · 物理学 2009-11-13 Enrico Conti , F. C. MacKintosh

The vertex model is a popular framework for modelling tightly packed biological cells, such as confluent epithelia. Cells are described by convex polygons tiling the plane and their equilibrium is found by minimizing a global mechanical…

生物物理 · 物理学 2021-03-17 Oliver E. Jensen , Emma Johns , Sarah Woolner

We present a revised theoretical study of the affine assumption applied to semiflexible networks. Drawing on simple models of semiflexible worm-like chains we derive an expression for the probability distribution of crosslink separations…

软凝聚态物质 · 物理学 2008-09-01 J. R. Blundell , E. M. Terentjev

The collective action of actively contractile units embedded in elastic biopolymer networks plays a crucial role in regulating the network's macroscopic mechanical response. Here, we investigate how the macroscopic boundary stress in model…

软凝聚态物质 · 物理学 2026-03-25 Abhinav Kumar , David A. Quint , Kinjal Dasbiswas

Tissues commonly consist of cells embedded within a fibrous biopolymer network. Whereas cell-free reconstituted biopolymer networks typically soften under applied uniaxial compression, various tissues, including liver, brain, and fat, have…

The proper functions of tissues depend on the ability of cells to withstand stress and maintain shape. Central to this process is the cytoskeleton, comprised of three polymeric networks: F-actin, microtubules, and intermediate filaments.…

生物物理 · 物理学 2020-08-25 Alison E. Patteson , Robert J. Carroll , Daniel V. Iwamoto , Paul A. Janmey

We present a theoretical framework for the linear and nonlinear visco-elastic properties of reversibly crosslinked networks of semiflexible polymers. In contrast to affine models where network strain couples to the polymer end-to-end…

软凝聚态物质 · 物理学 2016-07-06 Jan Plagge , Andreas Fischer , Claus Heussinger

We study two closely related, nonlinear models of a viscoplastic solid. These models capture essential features of plasticity over a wide range of strain rates and applied stresses. They exhibit inelastic strain relaxation and steady flow…

材料科学 · 物理学 2009-10-31 Alexander E. Lobkovsky , J. S. Langer

The elastic response of mechanical, chemical, and biological systems is often modeled using a discrete arrangement of Hookean springs, either representing finite material elements or even the molecular bonds of a system. However, to date,…

软凝聚态物质 · 物理学 2026-03-03 Doron Grossman , Arezki Boudaoud

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

The classical models used for describing the behavior of woven fabrics do not fully account for the whole set of phenomena that occur during the testing of such materials. This lack of precision is mainly due to the absence of energy terms…

软凝聚态物质 · 物理学 2016-02-18 Angela Madeo , Gabriele Barbagallo , Marco Valerio D'Agostino , Philippe Boisse

The forces that mixtures of motorized and passive crosslinking proteins collectively generate between cytoskeletal filaments within our cells are the key drivers of active cellular mechanics. Despite their importance, a unified theory to…

软凝聚态物质 · 物理学 2026-02-23 Cedrik Barutel , Sebastian Fürthauer

Connecting cell behavior to tissue shape and mechanics is a key challenge in the physics of morphogenesis. Cytoskeletal turnover precludes a fixed reference state, and tensions are actively generated independently of strain; so conventional…

软凝聚态物质 · 物理学 2026-05-28 Nikolas H. Claussen , Fridtjof Brauns , Boris I. Shraiman

It is well known that many biochemical processes in the cell such as gene regulation, growth signals and activation of ion channels, rely on mechanical stimuli. However, the mechanism by which mechanical signals propagate through cells is…

软凝聚态物质 · 物理学 2017-04-05 Adar Sonn-Segev , Anne Bernheim-Groswasser , Yael Roichman

Inspired by experiments on dynamic extensile gels of biofilaments and motors, we propose a model of a network of linear springs with a kinetics consisting of growth at a prescribed rate, death after a lifetime drawn from a distribution, and…

软凝聚态物质 · 物理学 2019-01-25 Daniel Goldstein , Sriram Ramaswamy , Bulbul Chakraborty

A slender-thread model is derived to explore the Rayleigh-Plateau instability of a filament of elasto-viscoplastic fluid. Without elasticity, a finite yield stress suppresses any linear instability for a filament of constant radius.…

流体动力学 · 物理学 2025-12-25 James D. Shemilt , Neil J. Balmforth

Crosslinked semi-flexible and flexible filaments that are actively deformed by molecular motors occur in various natural settings, such as the ordered eukaryotic flagellum, and the disordered cytoskeleton. The deformation of these composite…

生物物理 · 物理学 2018-10-02 Arvind Gopinath , Raghunath Chelakkot , L. Mahadevan

We study the mechanical stiffening behavior in two-dimensional (2D) cross-linked networks of semiflexible biopolymer filaments under simple shear. Filamental constituents immersed in a fluid undergo thermally excited bending motions.…

生物物理 · 物理学 2007-05-23 T. Van Dillen , P. R. Onck , E. Van der Giessen

We employ a mathematical model to analyze stress chains in thermoplastic elastomers (TPEs) with a microphase-separated spherical structure composed of triblock copolymers. The model represents stress chains during uniaxial and biaxial…

软凝聚态物质 · 物理学 2024-06-13 Ken'ichi Yoshida , Naoki Sakata , Koya Shimokawa