A multi-resolution particle/fluctuating hydrodynamics model for hybrid simulations of liquids based on the two-phase flow analogy
A multi-resolution particle/fluctuating hydrodynamics model for hybrid simulations of liquids based on the two-phase flow analogy
A triple-scale model of a molecular liquid, where atomistic, coarse-grained, and hydrodynamic descriptions of the same substance are consistently combined, is developed. Following the two-phase analogy method, the continuum and discrete particle representations of the same substance are coupled together in the framework of conservation laws for mass and momentum that are treated as effective phases of a nominally two-phase flow. The effective phase distribution, which governs the model resolution locally, is a user-defined function. In comparison with the previous models of this kind in the literature which used the classical Molecular Dynamics (MD) for the particulate phase, the current approach uses the Adaptive Resolution Scheme (AdResS) and stochastic integration to smoothen the particle transition from non-bonded atom dynamics to hydrodynamics. Accuracy and robustness of the new AdResS-Fluctuating Hydrodynamics (FH) model for water at equilibrium conditions is compared with the previous implementation of the two-phase analogy model based on the MD-FH method. To demonstrate that the AdResS-FH method can accurately support hydrodynamic fluctuations of mass and momentum, a test problem of high-frequency acoustic wave propagation through a small hybrid computational domain region is considered.
Hu, J.
bc03f2c8-b504-4720-81f6-5ccd3f9a36e3
Korotkin, I. A.
1ca96363-075e-41d9-a0c1-153c8c0cc31a
Karabasov, S. A.
8c5764f1-8325-47c0-8db7-4565ac15685d
28 August 2018
Hu, J.
bc03f2c8-b504-4720-81f6-5ccd3f9a36e3
Korotkin, I. A.
1ca96363-075e-41d9-a0c1-153c8c0cc31a
Karabasov, S. A.
8c5764f1-8325-47c0-8db7-4565ac15685d
Hu, J., Korotkin, I. A. and Karabasov, S. A.
(2018)
A multi-resolution particle/fluctuating hydrodynamics model for hybrid simulations of liquids based on the two-phase flow analogy.
Journal of Chemical Physics, 149 (8), [084108].
(doi:10.1063/1.5040962).
Abstract
A triple-scale model of a molecular liquid, where atomistic, coarse-grained, and hydrodynamic descriptions of the same substance are consistently combined, is developed. Following the two-phase analogy method, the continuum and discrete particle representations of the same substance are coupled together in the framework of conservation laws for mass and momentum that are treated as effective phases of a nominally two-phase flow. The effective phase distribution, which governs the model resolution locally, is a user-defined function. In comparison with the previous models of this kind in the literature which used the classical Molecular Dynamics (MD) for the particulate phase, the current approach uses the Adaptive Resolution Scheme (AdResS) and stochastic integration to smoothen the particle transition from non-bonded atom dynamics to hydrodynamics. Accuracy and robustness of the new AdResS-Fluctuating Hydrodynamics (FH) model for water at equilibrium conditions is compared with the previous implementation of the two-phase analogy model based on the MD-FH method. To demonstrate that the AdResS-FH method can accurately support hydrodynamic fluctuations of mass and momentum, a test problem of high-frequency acoustic wave propagation through a small hybrid computational domain region is considered.
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Accepted/In Press date: 11 August 2018
e-pub ahead of print date: 28 August 2018
Published date: 28 August 2018
Additional Information:
Funding Information:
The work of J.H. was supported by the China Scholarship Council (CSC). I.A.K. gratefully acknowledges the funding under the Marie Skłodowska-Curie Individual Fellowship Grant No. H2020-MSCA-IF-2015-700276 (HIPPOGRIFFE). This research utilised Queen Mary’s Apocrita HPC facility, supported by QMUL Research-IT.39
Publisher Copyright:
© 2018 Author(s).
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Local EPrints ID: 468113
URI: http://eprints.soton.ac.uk/id/eprint/468113
ISSN: 0021-9606
PURE UUID: 0333877d-9c83-4053-b667-5f9d34d8fe35
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Date deposited: 02 Aug 2022 17:08
Last modified: 06 Jun 2024 02:04
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Author:
J. Hu
Author:
S. A. Karabasov
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