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由机械弛豫控制的网络形成相分离中的幂律粗化

Power-law coarsening in network-forming phase separation governed by mechanical relaxation.

作者信息

Tateno Michio, Tanaka Hajime

机构信息

Department of Fundamental Engineering, Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan.

Graduate School of Arts and Sciences, University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo, 153-8902, Japan.

出版信息

Nat Commun. 2021 Feb 10;12(1):912. doi: 10.1038/s41467-020-20734-8.

Abstract

A space-spanning network structure is a basic morphology in phase separation of soft and biomatter, alongside a droplet one. Despite its fundamental and industrial importance, the physical principle underlying such network-forming phase separation remains elusive. Here, we study the network coarsening during gas-liquid-type phase separation of colloidal suspensions and pure fluids, by hydrodynamic and molecular dynamics simulations, respectively. For both, the detailed analyses of the pore sizes and strain field reveal the self-similar network coarsening and the unconventional power-law growth more than a decade according to ℓ ∝ t, where ℓ is the characteristic pore size and t is the elapsed time. We find that phase-separation dynamics is controlled by mechanical relaxation of the network-forming dense phase, whose limiting process is permeation flow of the solvent for colloidal suspensions and heat transport for pure fluids. This universal coarsening law would contribute to the fundamental physical understanding of network-forming phase separation.

摘要

跨越空间的网络结构是软物质和生物物质相分离中的一种基本形态,与液滴形态并存。尽管其具有基础和工业重要性,但这种形成网络的相分离背后的物理原理仍然难以捉摸。在这里,我们分别通过流体动力学和分子动力学模拟,研究了胶体悬浮液和纯流体气-液型相分离过程中的网络粗化。对于这两者,对孔径和应变场的详细分析揭示了自相似的网络粗化以及超过十年的非常规幂律增长,即ℓ ∝ t,其中ℓ是特征孔径,t是经过的时间。我们发现相分离动力学由形成网络的致密相的机械弛豫控制,其极限过程对于胶体悬浮液是溶剂的渗透流,对于纯流体是热传输。这种通用的粗化定律将有助于对形成网络的相分离进行基本的物理理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f419/7875975/1deaf8b27633/41467_2020_20734_Fig1_HTML.jpg

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