Statistical Error in Particle Simulations of Low Mach Number Flows

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/4017

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DC Field	Value	Language
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	-
Appears in Collections:	MIT Items

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