Evidence map›Paper›PMID 21918592›Full record

ArticlePhysics of fluids (Woodbury, N.Y. : 1994)2011

Nanoparticle Brownian motion and hydrodynamic interactions in the presence of flow fields.

B Uma, T N Swaminathan, R Radhakrishnan, D M Eckmann, P S Ayyaswamy

Abstract read
In one paragraph

Article in Physics of fluids (Woodbury, N.Y. : 1994), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Development andNanoscale advances · 2025
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  14. Composite generalized Langevin equation for Brownian motion in different hydrodynamic and adhesion regimes.Physical review. E, Statistical, nonlinear, and soft matter physics · 2015
    Article
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  16. Review
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  20. MODELING OF A NANOPARTICLE MOTION IN A NEWTONIAN FLUID: A COMPARISON BETWEEN FLUCTUATING HYDRODYNAMICS AND GENERALIZED LANGEVIN PROCEDURES.Proceedings of the ASME Micro/Nanoscale Heat and Mass Transfer International Conference -- 2012 : presented at the ASME 2012 3rd Micro/Nanoscale Heat and Mass Transfer International Conference, March 3-6, 2012, Atlanta, Georgia. Micro/N... · 2012
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

B Uma
T N Swaminathan
R Radhakrishnan
D M Eckmann
P S Ayyaswamy

Funding

Targeted Microcarrier Design and OptimizationR01EB006818 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI ECKMANN, DAVID M · 2008 to 2016
$3.3M
NIBIB NIH HHS R01 EB006818
6 · The paper itself

Abstract

We consider the Brownian motion of a nanoparticle in an incompressible Newtonian fluid medium (quiescent or fully developed Poiseuille flow) with the fluctuating hydrodynamics approach. The formalism considers situations where both the Brownian motion and the hydrodynamic interactions are important. The flow results have been modified to account for compressibility effects. Different nanoparticle sizes and nearly neutrally buoyant particle densities are also considered. Tracked particles are initially located at various distances from the bounding wall to delineate wall effects. The results for thermal equilibrium are validated by comparing the predictions for the temperatures of the particle with those obtained from the equipartition theorem. The nature of the hydrodynamic interactions is verified by comparing the velocity autocorrelation functions and mean square displacements with analytical and experimental results where available. The equipartition theorem for a Brownian particle in Poiseuille flow is verified for a range of low Reynolds numbers. Numerical predictions of wall interactions with the particle in terms of particle diffusivities are consistent with results, where available.

Identifiers

PMID21918592
PMCPMC3172128

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.