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arXiv 2310.03488cond-mat.softcond-mat.mtrl-sci
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拉胀聚合物网络:交联、密度和无序的作用

Auxetic polymer networks: The role of crosslinking, density and disorder

Andrea Ninarello, José Ruiz-Franco, Emanuela Zaccarelli

AI总结:

本文结合平衡与应力-应变模拟及唯象弹性理论,研究低连通度聚合物网络的超拉胀和类临界行为,并揭示数密度对无序体系弹性质的控制作用。

摘要:

低连通度聚合物网络最近被发现,在受到小张力作用时表现出拉胀行为,也就是说,它们的泊松比 $ν$ 变为负值。此外,对于特定状态点,数值模拟揭示类金刚石网络达到力学稳定性极限,表现出 $ν=-1$ 的数值,我们将这一状态定义为超拉胀性。这种行为本身因其在材料科学中的影响而令人关注,同时也因力学不稳定性伴随有临界性迹象而对基础物理学具有吸引力。在本工作中,我们通过开展大量平衡模拟和应力-应变模拟,并结合唯象弹性理论,加深了对这一现象的理解。两种方法被发现彼此高度一致,证实了上述结果。我们还将研究扩展到无序聚合物网络,发现超拉胀行为在这种情况下同样成立,并仍表现出与金刚石网络中相似的类临界行为。最后,我们强调了数密度的作用,它被发现是决定无序体系弹性质的一个相关控制参数。这些结果在无序条件下的有效性,为在水凝胶等真实体系中对该现象进行实验研究铺平了道路。

英文摘要:

Low-connectivity polymer networks were recently found to behave auxetically when subjected to small tensions, that is, their Poisson's ratio $ν$ becomes negative. In addition, for specific state points, numerical simulations revealed that diamond-like networks reach the limit of mechanical stability, exhibiting values of $ν= -1$, a condition that we define hyper-auxeticity. This behavior is interesting per se for its consequences in material science, but also appealing for fundamental physics because the mechanical instability is accompanied by evidences of criticality. In this work, we deepen our understanding of this phenomenon by performing a large set of equilibrium and stress-strain simulations in combination with a phenomenological elasticity theory. The two approaches are found to be in good agreement, confirming the above results. We also extend our investigations to disordered polymer networks and find that the hyper-auxetic behavior also holds in this case, still manifesting a similar critical-like behavior as in the diamond one. Finally, we highlight the role of the number density, that is found to be a relevant control parameter determining the elastic properties of the disordered system. The validity of the results in disordered conditions paves the way to an experimental investigation of this phenomenon in real systems, such as hydrogels.

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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