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dc.contributor.authorHadjiconstantinou, Nicolas G.
dc.contributor.authorGarcia, Alejandro L.
dc.contributor.authorBazant, Martin Z.
dc.contributor.authorHe, Gang
dc.date.accessioned2003-11-19T20:56:32Z
dc.date.available2003-11-19T20:56:32Z
dc.date.issued2003-01
dc.identifier.urihttp://hdl.handle.net/1721.1/3708
dc.description.abstractWe present predictions for the statistical error due to finite sampling in the presence of thermal fluctuations in molecular simulation algorithms. Specifically, we present predictions for the error dependence on hydrodynamic parameters and the number of samples taken. Expressions for the common hydrodynamic variables of interest such as flow velocity, temperature, density, pressure, shear stress and heat flux are derived using equilibrium statistical mechanics. Both volume-averaged and surface-averaged quantities are considered. Comparisons between theory and computations using direct simulation Monte Carlo for dilute gases, and molecular dynamics for dense fluids, show that the use of equilibrium theory provides accurate results.en
dc.description.sponsorshipSingapore-MIT Alliance (SMA)en
dc.format.extent158385 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesHigh Performance Computation for Engineered Systems (HPCES);
dc.subjectparticle simulationsen
dc.subjectfluid flowen
dc.subjectheat transferen
dc.subjectequilibrium statistical mechanicsen
dc.subjecthydrodynamic parametersen
dc.titleStatistical Error in Particle Simulations of Fluid Flow and Heat Transferen
dc.typeArticleen


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