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Sampling the Bulk Viscosity of Water with Molecular Dynamics Simulation in the Canonical Ensemble
[Image: see text] The bulk viscosity, a transport coefficient in the Navier–Stokes equation, is often neglected in the continuum mechanics of Newtonian fluids. Recently, however, the role of the bulk viscosity is highlighted in the area of surface and interface-related phenomena, in systematic model...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743212/ https://www.ncbi.nlm.nih.gov/pubmed/36446406 http://dx.doi.org/10.1021/acs.jpcb.2c06035 |
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author | Hafner, René Guevara-Carrion, Gabriela Vrabec, Jadran Klein, Peter |
author_facet | Hafner, René Guevara-Carrion, Gabriela Vrabec, Jadran Klein, Peter |
author_sort | Hafner, René |
collection | PubMed |
description | [Image: see text] The bulk viscosity, a transport coefficient in the Navier–Stokes equation, is often neglected in the continuum mechanics of Newtonian fluids. Recently, however, the role of the bulk viscosity is highlighted in the area of surface and interface-related phenomena, in systematic model up-scaling and as an important quantity for the interpretation of acoustic sensor data. The prediction of the bulk viscosity usually employs molecular dynamics and the Green–Kubo linear response theory, which is used to sample transport properties in general from molecular trajectories. Since simulations are usually carried out at specified state points in concert with the evaluation of other thermodynamic properties, the role of thermostats in molecular dynamics needs to be explored systematically. In this work, we carefully investigate the role of thermostatting schemes and numerical implementations of the Green–Kubo formalism, in particular in the canonical ensemble, using two popular water force field models. It turns out that the sampling of the bulk and shear viscosities is a delicate challenge since details of thermostatting and numerical subtleties may have an influence on the results beyond statistical uncertainties. Based on the present findings, we conclude with hints on how to construct robust sampling in the canonical ensemble for the bulk viscosity. |
format | Online Article Text |
id | pubmed-9743212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97432122022-12-13 Sampling the Bulk Viscosity of Water with Molecular Dynamics Simulation in the Canonical Ensemble Hafner, René Guevara-Carrion, Gabriela Vrabec, Jadran Klein, Peter J Phys Chem B [Image: see text] The bulk viscosity, a transport coefficient in the Navier–Stokes equation, is often neglected in the continuum mechanics of Newtonian fluids. Recently, however, the role of the bulk viscosity is highlighted in the area of surface and interface-related phenomena, in systematic model up-scaling and as an important quantity for the interpretation of acoustic sensor data. The prediction of the bulk viscosity usually employs molecular dynamics and the Green–Kubo linear response theory, which is used to sample transport properties in general from molecular trajectories. Since simulations are usually carried out at specified state points in concert with the evaluation of other thermodynamic properties, the role of thermostats in molecular dynamics needs to be explored systematically. In this work, we carefully investigate the role of thermostatting schemes and numerical implementations of the Green–Kubo formalism, in particular in the canonical ensemble, using two popular water force field models. It turns out that the sampling of the bulk and shear viscosities is a delicate challenge since details of thermostatting and numerical subtleties may have an influence on the results beyond statistical uncertainties. Based on the present findings, we conclude with hints on how to construct robust sampling in the canonical ensemble for the bulk viscosity. American Chemical Society 2022-11-29 2022-12-08 /pmc/articles/PMC9743212/ /pubmed/36446406 http://dx.doi.org/10.1021/acs.jpcb.2c06035 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Hafner, René Guevara-Carrion, Gabriela Vrabec, Jadran Klein, Peter Sampling the Bulk Viscosity of Water with Molecular Dynamics Simulation in the Canonical Ensemble |
title | Sampling the Bulk
Viscosity of Water with Molecular
Dynamics Simulation in the Canonical Ensemble |
title_full | Sampling the Bulk
Viscosity of Water with Molecular
Dynamics Simulation in the Canonical Ensemble |
title_fullStr | Sampling the Bulk
Viscosity of Water with Molecular
Dynamics Simulation in the Canonical Ensemble |
title_full_unstemmed | Sampling the Bulk
Viscosity of Water with Molecular
Dynamics Simulation in the Canonical Ensemble |
title_short | Sampling the Bulk
Viscosity of Water with Molecular
Dynamics Simulation in the Canonical Ensemble |
title_sort | sampling the bulk
viscosity of water with molecular
dynamics simulation in the canonical ensemble |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743212/ https://www.ncbi.nlm.nih.gov/pubmed/36446406 http://dx.doi.org/10.1021/acs.jpcb.2c06035 |
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