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Statistical Error in Particle Simulations of Low Mach Number Flows

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dc.creator Hadjiconstantinou, Nicolas G.
dc.creator Garcia, Alejandro L.
dc.date 2003-12-23T03:19:12Z
dc.date 2003-12-23T03:19:12Z
dc.date 2002-01
dc.date.accessioned 2013-10-09T02:33:48Z
dc.date.available 2013-10-09T02:33:48Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/4017
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description We present predictions for the statistical error due to finite sampling in the presence of thermal fluctuations in molecular simulation algorithms. Expressions for the fluid velocity, density and temperature are derived using equilibrium statistical mechanics. The results show that the number of samples needed to adequately resolve the flow-field scales as the inverse square of the Mach number. The theoretical results are verified for a dilute gas using direct Monte Carlo simulations. The agreement between theory and simulation verifies that the use of equilibrium theory is justified.
dc.description Singapore-MIT Alliance (SMA)
dc.format 108581 bytes
dc.format application/pdf
dc.language en_US
dc.relation High Performance Computation for Engineered Systems (HPCES);
dc.subject statistical error
dc.subject molecular simulation algorithms
dc.subject equilibrium statistical mechanics
dc.subject thermal fluctuations
dc.title Statistical Error in Particle Simulations of Low Mach Number Flows
dc.type Article


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