粘弹性、无定形和微孔介质中的封闭流体动力学:通过分子模拟和广义朗文方程研究一种角质。

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL Journal of Chemical Physics Pub Date : 2024-09-28 DOI:10.1063/5.0225299
Kristina Ariskina, Guillaume Galliéro, Amaël Obliger
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引用次数: 0

摘要

我们结合使用分子动力学模拟和广义朗格文方程来研究吸附在页岩主要有机相--角质层内的流体的扩散。作为一类可表现出显著吸附诱导膨胀的微孔和无定形材料,预计角质层的微观结构动力学将在封闭流体动力学中发挥重要作用。我们通过有无固体动力学的全原子模拟来研究这种作用。只要考虑到流体与固体之间的动力学耦合,我们就会发现流体动力学与块体流体相比会出现一些质的差异,这些差异会因吸附引起的膨胀而受到吸附流体量的调节。我们强调,利用广义朗文方程的中心时间相关函数--记忆核,可以在流体动力学上显示出固体动力学的特征。有趣的是,我们观察到角质层中流体扩散的记忆核与过冷液体中标记颗粒的记忆核在性质上表现相同。我们强调重现速度-力相关函数的重要性,以验证数值获得的记忆核,因为封闭会增强数值不稳定性。这一方法非常有趣,因为它为模拟流体浓度对此类超约束情况下扩散系数的影响开辟了道路。
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Confined fluid dynamics in a viscoelastic, amorphous, and microporous medium: Study of a kerogen by molecular simulations and the generalized Langevin equation.

We combine the use of molecular dynamics simulations and the generalized Langevin equation to study the diffusion of a fluid adsorbed within kerogen, the main organic phase of shales. As a class of microporous and amorphous materials that can exhibit significant adsorption-induced swelling, the dynamics of the kerogen's microstructure is expected to play an important role in the confined fluid dynamics. This role is investigated by conducting all-atom simulations with or without solid dynamics. Whenever the dynamics coupling between the fluid and solid is accounted for, we show that the fluid dynamics displays some qualitative differences compared to bulk fluids, which can be modulated by the amount of adsorbed fluid owing to adsorption-induced swelling. We highlight that working with the memory kernel, the central time correlation function of the generalized Langevin equation, allows the fingerprint of the dynamics of the solid to appear on that of the fluid. Interestingly, we observe that the memory kernels of fluid diffusion in kerogen qualitatively behave as those of tagged particles in supercooled liquids. We emphasize the importance of reproducing the velocity-force correlation function to validate the memory kernel numerically obtained as confinement enhances the numerical instabilities. This route is interesting as it opens the way for modeling the impact of fluid concentration on the diffusion coefficient in such ultra-confining cases.

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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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