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胶束溶液的旋节线不稳定性中种子形成机制的研究

Identification of the seeding mechanism in the spinodal instability of dewetting liquids.

机构信息

Department of Physics, Università di Genova, Via Dodecaneso, 33, Genova 16146, Italy.

Department of Physics, Università di Genova, Via Dodecaneso, 33, Genova 16146, Italy.

出版信息

J Colloid Interface Sci. 2023 Feb 15;632(Pt A):65-73. doi: 10.1016/j.jcis.2022.11.028. Epub 2022 Nov 11.

Abstract

HYPOTHESIS

Spinodal dewetting is one of the basic processes inducing a spontaneous withdrawal of a liquid from a substrate surface. In the accepted theory, thickness fluctuations generated by thermally activated capillary waves are amplified by the competing actions of surface tension and disjoining pressure. Ubiquitous sub-nanometric substrate roughness also produces thickness fluctuations and may play a role analogous but even more efficient in seeding the process.

MODELLING

Analytic calculations valid at the early linear stage of the process and simulations extending the study to its whole non-linear development have been performed to compare features and the relative relevance of the two seeding mechanisms.

FINDINGS

Calculations and simulations have shown that substrate roughness can replace capillary waves in seeding spinodal dewetting. A typically larger amplitude and a steady nature compared to the transitory one of capillary waves allow us to conclude that, contrary to the common view, substrate roughness is the prevailing seed of the spinodal instability. The consequence of our statement is that spinodal dewetting loses most of its stochastic nature and becomes, in principle, a process that can be tuned by engineering substrate roughness.

摘要

假设

旋节线分解是导致液体从基底表面自发退出的基本过程之一。在公认的理论中,由热激活毛细波产生的厚度波动通过表面张力和非均匀压力的竞争作用得到放大。无处不在的亚纳米级基底粗糙度也会产生厚度波动,并可能在引发该过程方面发挥类似但更有效的作用。

建模

为了比较两种引发机制的特征和相对重要性,我们进行了分析计算,该计算在该过程的早期线性阶段有效,并进行了模拟,将研究扩展到整个非线性发展阶段。

研究结果

计算和模拟表明,基底粗糙度可以替代毛细波来引发旋节线分解。与毛细波的瞬态相比,基底粗糙度通常具有更大的振幅和稳定的性质,这使我们得出结论,与普遍观点相反,基底粗糙度是旋节不稳定性的主要引发因素。我们陈述的结果是,旋节线分解失去了大部分随机性质,并且原则上成为可以通过工程化基底粗糙度来调节的过程。

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