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Cited by 289

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Statistical error in particle simulations of hydrodynamic phenomena

Open access
Hadjiconstantinou, Nicolas G., Garcia, Alejandro L., Bazant, Martin Z., He, Gang·2003·Journal of Computational Physics

Abstract

We present predictions for the statistical error due to finite sampling in the presence of thermal fluctuations in molecular simulation algorithms. Specifically, we establish how these errors depend on Mach number, Knudsen number, number of particles, etc. 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.

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Metadata

Authors
Hadjiconstantinou, N. G., Garcia, A. L., Bazant, M. Z., & He, G.
Venue
Journal of Computational Physics
Publisher
Elsevier BV
Published
2003-05
Volume
187
Issue
1
Pages
274-297
ISSN
0021-9991 (ISSN-L)
OpenAlex
W2096529920
Cited by
289
References
2
FWCI
20.37
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Statistical error in particle simulations of hydrodynamic phenomena. https://app.cochat.ai/papers/10.1016/s0021-9991(03)00099-8
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Hadjiconstantinou, N. G., Garcia, A. L., Bazant, M. Z., & He, G. (2003). Statistical error in particle simulations of hydrodynamic phenomena. Journal of Computational Physics. https://doi.org/10.1016/s0021-9991(03)00099-8

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.