Energetic Variational Approaches in Complex Fluids and Electrophysiology

复杂流体和电生理学中的能量变分方法

• 批准号: 1759536
• 负责人: Chun Liu
• 金额: $ 14.33万
• 依托单位: Illinois Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1759536&HistoricalAwards=false
• 关键词: Energetic; Variational; Approaches; Complex; Fluids

Complex fluids are ubiquitous in our daily life and important in physical and biological applications. One such example is ionic solutions in animals or humans. Biology and physiology has shown that understanding ionic solutions is essential in almost all biological activities. The mechanical and electrical interactions of molecular-scale microstructures with macroscopic flow in complex fluids can give rise to new phenomena not encountered in simple fluids or gases. New mathematical theories and techniques are needed to resolve the ever present fundamental issues such as the ensemble of micro-elements, the intermolecular and distortional elastic interactions, the coupling of hydrodynamic transport and the applied electric or magnetic fields. This project investigates the use of a very general energetic variational framework to derive and study the dynamics of complex fluids, and its applications to general viscoelastic fluids, the hydrodynamics of electrolytes and electro-rheological fluids, and the transport of ionic solutions in ion channels. The proposed research also provides the opportunity for students to have multidisciplinary experiences in mathematics, bioengineering, and neurophysiology.This project aims at making several distinct mathematical advances and to integrate studies of these physical and biological complex fluids from different fields. The common feature of the systems that the PI proposes to study is the underlying energetic variational structure among all these materials and systems. The PI will focus on understanding the coupling and competing effects from different spatial or temporal scales, among them the microstructures and the macroscopic properties of the solutions, the kinetic transport and the induced elastic stresses in viscoelastic materials, the relative drags and interactions between different species in mixtures. Energetic variational methods have shown promise for the study of such multiscale multiphysics problems, for instance the transport of ionic solutions through biological environments. They deal naturally with systems with many components that flow between fixed and moving domains or boundaries, and with different interactions. We will apply such variational methods to study the transport of biological plasma, ionic solutions of sodium, potassium, and chloride ions, and their interaction with different environments and structures.

复杂流体在我们的日常生活中无处不在，在物理和生物应用中具有重要意义。一个这样的例子是动物或人类的离子溶液。生物学和生理学已经表明，了解离子溶液在几乎所有的生物活动中是必不可少的。在复杂流体中，分子尺度的微观结构与宏观流动之间的机械和电学相互作用可以产生在简单流体或气体中没有遇到的新现象。微元系综、分子间和畸变弹性相互作用、流体动力学输运与外加电场或磁场的耦合等基本问题需要新的数学理论和技术来解决。该项目研究使用一个非常普遍的能量变分框架来推导和研究复杂流体的动力学，及其在一般粘弹性流体，电解质和电流变流体的流体动力学，以及离子通道中离子溶液的传输中的应用。该研究还为学生提供了在数学，生物工程和神经生理学方面多学科经验的机会。该项目旨在取得几个不同的数学进展，并整合来自不同领域的这些物理和生物复杂流体的研究。PI提出要研究的系统的共同特征是所有这些材料和系统之间的潜在能量变化结构。PI将专注于理解不同空间或时间尺度的耦合和竞争效应，其中包括解决方案的微观结构和宏观性质，粘弹性材料中的动力学传输和诱导弹性应力，混合物中不同物种之间的相对阻力和相互作用。能量变分方法已经显示出这样的多尺度多物理问题的研究，例如通过生物环境中的离子溶液的运输的承诺。它们自然地处理具有许多组件的系统，这些组件在固定和移动的域或边界之间流动，并且具有不同的相互作用。 我们将应用这种变分方法来研究生物等离子体的传输，钠，钾和氯离子的离子溶液，以及它们与不同环境和结构的相互作用。

项目成果

Motion of Grain Boundaries with Dynamic Lattice Misorientations and with Triple Junctions Drag

具有动态晶格取向差和三重结阻力的晶界运动

• DOI: 10.1137/19m1265855
• 发表时间: 2021
• 期刊: SIAM Journal on Mathematical Analysis
• 影响因子: 2
• 作者: Epshteyn, Yekaterina;Liu, Chun;Mizuno, Masashi
• 通讯作者: Mizuno, Masashi

Second order approximation for a quasi-incompressible Navier-Stokes Cahn-Hilliard system of two-phase flows with variable density

变密度两相流准不可压缩纳维-斯托克斯卡恩-希利亚德系统的二阶近似

• DOI: 10.1016/j.jcp.2021.110727
• 发表时间: 2021-10-04
• 期刊: JOURNAL OF COMPUTATIONAL PHYSICS
• 影响因子: 4.1
• 作者: Guo, Zhenlin;Cheng, Qing;Lowengrub, John
• 通讯作者: Lowengrub, John

A positivity-preserving, energy stable and convergent numerical scheme for the Poisson-Nernst-Planck system

• DOI: 10.1090/mcom/3642
• 发表时间: 2020-09
• 期刊: Math. Comput.
• 作者: Chun Liu;Cheng Wang;S. Wise;Xingye Yue;Shenggao Zhou