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Transport dynamics of complex fluids
Thermal motion in complex fluids is a complicated stochastic process but ubiquitously exhibits initial ballistic, intermediate subdiffusive, and long-time diffusive motion, unless interrupted. Despite its relevance to numerous dynamical processes of interest in modern science, a unified, quantitativ...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600932/ https://www.ncbi.nlm.nih.gov/pubmed/31175151 http://dx.doi.org/10.1073/pnas.1900239116 |
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author | Song, Sanggeun Park, Seong Jun Kim, Minjung Kim, Jun Soo Sung, Bong June Lee, Sangyoub Kim, Ji-Hyun Sung, Jaeyoung |
author_facet | Song, Sanggeun Park, Seong Jun Kim, Minjung Kim, Jun Soo Sung, Bong June Lee, Sangyoub Kim, Ji-Hyun Sung, Jaeyoung |
author_sort | Song, Sanggeun |
collection | PubMed |
description | Thermal motion in complex fluids is a complicated stochastic process but ubiquitously exhibits initial ballistic, intermediate subdiffusive, and long-time diffusive motion, unless interrupted. Despite its relevance to numerous dynamical processes of interest in modern science, a unified, quantitative understanding of thermal motion in complex fluids remains a challenging problem. Here, we present a transport equation and its solutions, which yield a unified quantitative explanation of the mean-square displacement (MSD), the non-Gaussian parameter (NGP), and the displacement distribution of complex fluids. In our approach, the environment-coupled diffusion kernel and its time correlation function (TCF) are the essential quantities that determine transport dynamics and characterize mobility fluctuation of complex fluids; their time profiles are directly extractable from a model-free analysis of the MSD and NGP or, with greater computational expense, from the two-point and four-point velocity autocorrelation functions. We construct a general, explicit model of the diffusion kernel, comprising one unbound-mode and multiple bound-mode components, which provides an excellent approximate description of transport dynamics of various complex fluidic systems such as supercooled water, colloidal beads diffusing on lipid tubes, and dense hard disk fluid. We also introduce the concepts of intrinsic disorder and extrinsic disorder that have distinct effects on transport dynamics and different dependencies on temperature and density. This work presents an unexplored direction for quantitative understanding of transport and transport-coupled processes in complex disordered media. |
format | Online Article Text |
id | pubmed-6600932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-66009322019-07-10 Transport dynamics of complex fluids Song, Sanggeun Park, Seong Jun Kim, Minjung Kim, Jun Soo Sung, Bong June Lee, Sangyoub Kim, Ji-Hyun Sung, Jaeyoung Proc Natl Acad Sci U S A PNAS Plus Thermal motion in complex fluids is a complicated stochastic process but ubiquitously exhibits initial ballistic, intermediate subdiffusive, and long-time diffusive motion, unless interrupted. Despite its relevance to numerous dynamical processes of interest in modern science, a unified, quantitative understanding of thermal motion in complex fluids remains a challenging problem. Here, we present a transport equation and its solutions, which yield a unified quantitative explanation of the mean-square displacement (MSD), the non-Gaussian parameter (NGP), and the displacement distribution of complex fluids. In our approach, the environment-coupled diffusion kernel and its time correlation function (TCF) are the essential quantities that determine transport dynamics and characterize mobility fluctuation of complex fluids; their time profiles are directly extractable from a model-free analysis of the MSD and NGP or, with greater computational expense, from the two-point and four-point velocity autocorrelation functions. We construct a general, explicit model of the diffusion kernel, comprising one unbound-mode and multiple bound-mode components, which provides an excellent approximate description of transport dynamics of various complex fluidic systems such as supercooled water, colloidal beads diffusing on lipid tubes, and dense hard disk fluid. We also introduce the concepts of intrinsic disorder and extrinsic disorder that have distinct effects on transport dynamics and different dependencies on temperature and density. This work presents an unexplored direction for quantitative understanding of transport and transport-coupled processes in complex disordered media. National Academy of Sciences 2019-06-25 2019-06-07 /pmc/articles/PMC6600932/ /pubmed/31175151 http://dx.doi.org/10.1073/pnas.1900239116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | PNAS Plus Song, Sanggeun Park, Seong Jun Kim, Minjung Kim, Jun Soo Sung, Bong June Lee, Sangyoub Kim, Ji-Hyun Sung, Jaeyoung Transport dynamics of complex fluids |
title | Transport dynamics of complex fluids |
title_full | Transport dynamics of complex fluids |
title_fullStr | Transport dynamics of complex fluids |
title_full_unstemmed | Transport dynamics of complex fluids |
title_short | Transport dynamics of complex fluids |
title_sort | transport dynamics of complex fluids |
topic | PNAS Plus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600932/ https://www.ncbi.nlm.nih.gov/pubmed/31175151 http://dx.doi.org/10.1073/pnas.1900239116 |
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