Components for Atomistic-to-Continuum Multiscale Modeling of Flow in Micro- and Nanofluidic Systems

Micro- and nanofluidics pose a series of significant challenges for science-based modeling. Key among those are the wide separation of length- and timescales between interface phenomena and bulk flow and the spatially heterogeneous solution properties near solid-liquid interfaces. It is not uncommon...

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Main Authors: Helgi Adalsteinsson, Bert J. Debusschere, Kevin R. Long, Habib N. Najm
Format: Article
Language:English
Published: Hindawi Limited 2008-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.3233/SPR-2008-0259
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spelling doaj-c9b929549c4c47bc923d5c8f34fd69732021-07-02T07:04:43ZengHindawi LimitedScientific Programming1058-92441875-919X2008-01-0116429731310.3233/SPR-2008-0259Components for Atomistic-to-Continuum Multiscale Modeling of Flow in Micro- and Nanofluidic SystemsHelgi Adalsteinsson0Bert J. Debusschere1Kevin R. Long2Habib N. Najm3Sandia National Laboratories, Livermore, CA 94551, USASandia National Laboratories, Livermore, CA 94551, USADepartment of Mathematic and Statistics, Texas Tech University, Lubbock, TX 79409, USASandia National Laboratories, Livermore, CA 94551, USAMicro- and nanofluidics pose a series of significant challenges for science-based modeling. Key among those are the wide separation of length- and timescales between interface phenomena and bulk flow and the spatially heterogeneous solution properties near solid-liquid interfaces. It is not uncommon for characteristic scales in these systems to span nine orders of magnitude from the atomic motions in particle dynamics up to evolution of mass transport at the macroscale level, making explicit particle models intractable for all but the simplest systems. Recently, atomistic-to-continuum (A2C) multiscale simulations have gained a lot of interest as an approach to rigorously handle particle-level dynamics while also tracking evolution of large-scale macroscale behavior. While these methods are clearly not applicable to all classes of simulations, they are finding traction in systems in which tight-binding, and physically important, dynamics at system interfaces have complex effects on the slower-evolving large-scale evolution of the surrounding medium. These conditions allow decomposition of the simulation into discrete domains, either spatially or temporally. In this paper, we describe how features of domain decomposed simulation systems can be harnessed to yield flexible and efficient software for multiscale simulations of electric field-driven micro- and nanofluidics.http://dx.doi.org/10.3233/SPR-2008-0259
collection DOAJ
language English
format Article
sources DOAJ
author Helgi Adalsteinsson
Bert J. Debusschere
Kevin R. Long
Habib N. Najm
spellingShingle Helgi Adalsteinsson
Bert J. Debusschere
Kevin R. Long
Habib N. Najm
Components for Atomistic-to-Continuum Multiscale Modeling of Flow in Micro- and Nanofluidic Systems
Scientific Programming
author_facet Helgi Adalsteinsson
Bert J. Debusschere
Kevin R. Long
Habib N. Najm
author_sort Helgi Adalsteinsson
title Components for Atomistic-to-Continuum Multiscale Modeling of Flow in Micro- and Nanofluidic Systems
title_short Components for Atomistic-to-Continuum Multiscale Modeling of Flow in Micro- and Nanofluidic Systems
title_full Components for Atomistic-to-Continuum Multiscale Modeling of Flow in Micro- and Nanofluidic Systems
title_fullStr Components for Atomistic-to-Continuum Multiscale Modeling of Flow in Micro- and Nanofluidic Systems
title_full_unstemmed Components for Atomistic-to-Continuum Multiscale Modeling of Flow in Micro- and Nanofluidic Systems
title_sort components for atomistic-to-continuum multiscale modeling of flow in micro- and nanofluidic systems
publisher Hindawi Limited
series Scientific Programming
issn 1058-9244
1875-919X
publishDate 2008-01-01
description Micro- and nanofluidics pose a series of significant challenges for science-based modeling. Key among those are the wide separation of length- and timescales between interface phenomena and bulk flow and the spatially heterogeneous solution properties near solid-liquid interfaces. It is not uncommon for characteristic scales in these systems to span nine orders of magnitude from the atomic motions in particle dynamics up to evolution of mass transport at the macroscale level, making explicit particle models intractable for all but the simplest systems. Recently, atomistic-to-continuum (A2C) multiscale simulations have gained a lot of interest as an approach to rigorously handle particle-level dynamics while also tracking evolution of large-scale macroscale behavior. While these methods are clearly not applicable to all classes of simulations, they are finding traction in systems in which tight-binding, and physically important, dynamics at system interfaces have complex effects on the slower-evolving large-scale evolution of the surrounding medium. These conditions allow decomposition of the simulation into discrete domains, either spatially or temporally. In this paper, we describe how features of domain decomposed simulation systems can be harnessed to yield flexible and efficient software for multiscale simulations of electric field-driven micro- and nanofluidics.
url http://dx.doi.org/10.3233/SPR-2008-0259
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