Stochastic simulation of transport processes in liquids
The subject of this paper is molecular stochastic modeling the transport processes in liquids. The proposed method and the corresponding algorithm are an alternative to the molecular dynamics method. However, unlike the latter the system of Newtonian equations is not solved for modeling the phase tr...
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Published in | Journal of physics. Conference series Vol. 1382; no. 1; pp. 12088 - 12093 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
01.11.2019
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Online Access | Get full text |
ISSN | 1742-6588 1742-6596 |
DOI | 10.1088/1742-6596/1382/1/012088 |
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Abstract | The subject of this paper is molecular stochastic modeling the transport processes in liquids. The proposed method and the corresponding algorithm are an alternative to the molecular dynamics method. However, unlike the latter the system of Newtonian equations is not solved for modeling the phase trajectories of the system studied. The phase trajectories of the molecular system are simulated stochastically. For this purpose, the database of the intermolecular forces acting on each molecule of the system during the considered time interval has been created. The distribution function of these forces has been built. It was shown that this distribution function can be approximated by certain analytic function. The dependency of the parameters of this function on the liquid temperature and parameters of the intermolecular interaction potential (the Lennard-Jones interaction potential is used) is determined. Using this distribution function the force acting on each molecule at given time is determined. After that the coordinates and velocity of all molecules of the system are calculated. As a result, the full information about the phase variables of the molecular system is obtained. All macroscopic characteristics of the system (temperature, pressure, transport coefficients etc.) are calculated by means of the methods of nonequilibrium statistical mechanics. The transport coefficients are calculated using fluctuation-dissipation theorems that relate transport coefficients to the evolution of the corresponding correlation functions. The algorithm was tested on the calculation of the viscosity of several simple liquids. |
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AbstractList | The subject of this paper is molecular stochastic modeling the transport processes in liquids. The proposed method and the corresponding algorithm are an alternative to the molecular dynamics method. However, unlike the latter the system of Newtonian equations is not solved for modeling the phase trajectories of the system studied. The phase trajectories of the molecular system are simulated stochastically. For this purpose, the database of the intermolecular forces acting on each molecule of the system during the considered time interval has been created. The distribution function of these forces has been built. It was shown that this distribution function can be approximated by certain analytic function. The dependency of the parameters of this function on the liquid temperature and parameters of the intermolecular interaction potential (the Lennard-Jones interaction potential is used) is determined. Using this distribution function the force acting on each molecule at given time is determined. After that the coordinates and velocity of all molecules of the system are calculated. As a result, the full information about the phase variables of the molecular system is obtained. All macroscopic characteristics of the system (temperature, pressure, transport coefficients etc.) are calculated by means of the methods of nonequilibrium statistical mechanics. The transport coefficients are calculated using fluctuation-dissipation theorems that relate transport coefficients to the evolution of the corresponding correlation functions. The algorithm was tested on the calculation of the viscosity of several simple liquids. |
Author | Rudyak, V Ya Lezhnev, E V |
Author_xml | – sequence: 1 givenname: V Ya surname: Rudyak fullname: Rudyak, V Ya email: valery.rudyak@mail.ru organization: Novosibirsk State University , Russia – sequence: 2 givenname: E V surname: Lezhnev fullname: Lezhnev, E V organization: Novosibirsk State University of Architecture and Civil Engineering 113 , Russia |
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CitedBy_id | crossref_primary_10_1134_S0869864323060057 |
Cites_doi | 10.1016/j.jcp.2017.11.001 10.1134/s10740-008-1006-1 10.17212/1727-2769-2016-4-22-32 10.1134/1.1378182 10.1016/S0010-4655(02)00376-4 |
ContentType | Journal Article |
Copyright | Published under licence by IOP Publishing Ltd 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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DOI | 10.1088/1742-6596/1382/1/012088 |
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References | Rudyak (JPCS_1382_1_012088bib5) 2017; 29 Chapman (JPCS_1382_1_012088bib7) 1990 Zubarev (JPCS_1382_1_012088bib11) 1974 Norman (JPCS_1382_1_012088bib2) 2001; 92 Rapaport (JPCS_1382_1_012088bib10) 1995 Allen (JPCS_1382_1_012088bib12) 1987 Rudyak (JPCS_1382_1_012088bib8) 2016; 4 Rudyak (JPCS_1382_1_012088bib6) 2018; 355 Rudyak (JPCS_1382_1_012088bib13) 2008; 46 Rudyak (JPCS_1382_1_012088bib1) 2005 Rudyak (JPCS_1382_1_012088bib4) 2016; 738 Norman (JPCS_1382_1_012088bib3) 2002; 147 Hirschfelder (JPCS_1382_1_012088bib9) 1954 |
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SubjectTerms | Algorithms Analytic functions Distribution functions Force distribution Interaction parameters Intermolecular forces Liquids Modelling Molecular dynamics Physics Statistical mechanics Statistical methods Stochastic models Transport processes Transport properties |
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