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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...

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Autores principales: Song, Sanggeun, Park, Seong Jun, Kim, Minjung, Kim, Jun Soo, Sung, Bong June, Lee, Sangyoub, Kim, Ji-Hyun, Sung, Jaeyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2019
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.
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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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