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Title: Viscosity and mutual diffusion in strongly asymmetric plasma mixtures

Abstract

The authors present molecular dynamics simulation results for the viscosity and mutual diffusion constant of a strongly asymmetric two-component plasma (TCP). They compare the results with available theoretical models previously tested for much smaller asymmetries. for the case of viscosity they propose a new predictive framework based on the linear mixing rule, while for mutual diffusion they point out some consistency problems of widely used Boltzmann equation based models.

Authors:
Publication Date:
Research Org.:
Lawrence Livermore National Lab., Livermore, CA (US)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
15016555
Report Number(s):
UCRL-JRNL-206447
TRN: US0502597
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Journal Article
Journal Name:
Physical Review E
Additional Journal Information:
Journal Volume: 71; Other Information: Journal publication date May 26, 2005; PDF-FILE: 17 ; SIZE: 0.2 MBYTES; PBD: 7 Sep 2004
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY; BOLTZMANN EQUATION; DIFFUSION; MIXTURES; PLASMA; SIMULATION; VISCOSITY

Citation Formats

Bastea, S. Viscosity and mutual diffusion in strongly asymmetric plasma mixtures. United States: N. p., 2004. Web.
Bastea, S. Viscosity and mutual diffusion in strongly asymmetric plasma mixtures. United States.
Bastea, S. Tue . "Viscosity and mutual diffusion in strongly asymmetric plasma mixtures". United States. https://www.osti.gov/servlets/purl/15016555.
@article{osti_15016555,
title = {Viscosity and mutual diffusion in strongly asymmetric plasma mixtures},
author = {Bastea, S},
abstractNote = {The authors present molecular dynamics simulation results for the viscosity and mutual diffusion constant of a strongly asymmetric two-component plasma (TCP). They compare the results with available theoretical models previously tested for much smaller asymmetries. for the case of viscosity they propose a new predictive framework based on the linear mixing rule, while for mutual diffusion they point out some consistency problems of widely used Boltzmann equation based models.},
doi = {},
url = {https://www.osti.gov/biblio/15016555}, journal = {Physical Review E},
number = ,
volume = 71,
place = {United States},
year = {2004},
month = {9}
}