Monte Carlo method and the nonequilibrium structure and non-Newtonian viscosity of a sheared simple liquid
Monte Carlo method and the nonequilibrium structure and non-Newtonian viscosity of a sheared simple liquid
The Monte Carlo method is applied to study the nonequilibrium steady-state structure and non-Newtonian viscosity of a sheared simple liquid. The simulation is performed in-plane Couette flow geometry on the basis of the nonequilibrium statistical mechanical formalism provided by the nonequilibrium ensemble method. The results are compared with those by the nonequilibrium molecular-dynamics simulation results and also those by the integral equation method. The present Monte Carlo method is comparable in accuracy with the molecular-dynamics simulation method for the quantities compared.
97-108
Farhat, Hikmat
4b7583f4-d03c-425e-a65a-82c0e157e7e6
Eu, Byung Chan
e4d48289-cc13-4b02-b3d5-7c2ea478a9ad
1 January 1999
Farhat, Hikmat
4b7583f4-d03c-425e-a65a-82c0e157e7e6
Eu, Byung Chan
e4d48289-cc13-4b02-b3d5-7c2ea478a9ad
Farhat, Hikmat and Eu, Byung Chan
(1999)
Monte Carlo method and the nonequilibrium structure and non-Newtonian viscosity of a sheared simple liquid.
Journal of Chemical Physics, 110 (1), .
(doi:10.1063/1.478087).
Abstract
The Monte Carlo method is applied to study the nonequilibrium steady-state structure and non-Newtonian viscosity of a sheared simple liquid. The simulation is performed in-plane Couette flow geometry on the basis of the nonequilibrium statistical mechanical formalism provided by the nonequilibrium ensemble method. The results are compared with those by the nonequilibrium molecular-dynamics simulation results and also those by the integral equation method. The present Monte Carlo method is comparable in accuracy with the molecular-dynamics simulation method for the quantities compared.
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Published date: 1 January 1999
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Local EPrints ID: 492295
URI: http://eprints.soton.ac.uk/id/eprint/492295
ISSN: 0021-9606
PURE UUID: df1cc524-bf59-437d-ad31-0c1a997b6f35
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Date deposited: 23 Jul 2024 17:08
Last modified: 24 Jul 2024 02:06
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Author:
Hikmat Farhat
Author:
Byung Chan Eu
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