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arXiv 2206.04043physics.bio-phcond-mat.mtrl-scinlin.AO
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受中间丝启发的缠结网络的非仿射力学

Non-affine mechanics of entangled networks inspired by intermediate filaments

M. Pensalfini, T. Golde, X. Trepat, M. Arroyo

AI总结:

本研究通过计算模拟末端可滑动的缠结细丝网络,揭示其在阈值以上自组织为星形构型并产生非仿射非线性力学的机制,为软纤维材料的缠结构控提供框架。

摘要:

受过度拉伸上皮组织中大量中间丝(IF)重组的启发,我们通过计算研究了控制一组末端可在细胞边界上滑动的缠结细丝力学特性的原理。我们识别出一个缠结度量及阈值,超过该阈值后,随机松散网络会通过自组织形成结构上最优的星形构型,对拉伸作出非仿射且非线性的响应。一个连接细胞应变与细丝应变的简单模型,将涌现力学与细胞几何、网络拓扑和细丝力学联系起来。我们在IF网络中识别出安全网机制,并提供了一个在软纤维材料中调控缠结的框架。

英文摘要:

Inspired by massive intermediate filament (IF) reorganization in superstretched epithelia, we examine computationally the principles controlling the mechanics of a set of entangled filaments whose ends slide on the cell boundary. We identify an entanglement metric and threshold beyond which random loose networks respond non-affinely and nonlinearly to stretch by self-organizing into structurally optimal star-shaped configurations. A simple model connecting cellular and filament strains links emergent mechanics to cell geometry, network topology, and filament mechanics. We identify a safety net mechanism in IF networks and provide a framework to harness entanglement in soft fibrous materials.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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