Evidence map›Paper›PMID 22865935›Full record

ArticleMolecular physics2012

A hybrid formalism combining fluctuating hydrodynamics and generalized Langevin dynamics for the simulation of nanoparticle thermal motion in an incompressible fluid medium.

B Uma, D M Eckmann, P S Ayyaswamy, R Radhakrishnan

Abstract read
In one paragraph

Article in Molecular physics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Composite generalized Langevin equation for Brownian motion in different hydrodynamic and adhesion regimes.Physical review. E, Statistical, nonlinear, and soft matter physics · 2015
    Article
  5. Article
  6. Review
  7. Article
  8. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

B UmaDepartment of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA 19104.
D M Eckmann
P S Ayyaswamy
R Radhakrishnan

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

A novel hybrid scheme based on Markovian fluctuating hydrodynamics of the fluid and a non-Markovian Langevin dynamics with the Ornstein-Uhlenbeck noise perturbing the translational and rotational equations of motion of the nanoparticle is employed to study the thermal motion of a nanoparticle in an incompressible Newtonian fluid medium. A direct numerical simulation adopting an arbitrary Lagrangian-Eulerian (ALE) based finite element method (FEM) is employed in simulating the thermal motion of a particle suspended in the fluid confined in a cylindrical vessel. The results for thermal equilibrium between the particle and the fluid are validated by comparing the numerically predicted temperature of the nanoparticle with that obtained from the equipartition theorem. The nature of the hydrodynamic interactions is verified by comparing the velocity autocorrelation function (VACF) and mean squared displacement (MSD) with well-known analytical results. For nanoparticle motion in an incompressible fluid, the fluctuating hydrodynamics approach resolves the hydrodynamics correctly but does not impose the correct equipartition of energy based on the nanoparticle mass because of the added mass of the displaced fluid. In contrast, the Langevin approach with an appropriate memory is able to show the correct equipartition of energy, but not the correct short- and long-time hydrodynamic correlations. Using our hybrid approach presented here, we show for the first time, that we can simultaneously satisfy the equipartition theorem and the (short- and long-time) hydrodynamic correlations. In effect, this results in a thermostat that also simultaneously preserves the true hydrodynamic correlations. The significance of this result is that our new algorithm provides a robust computational approach to explore nanoparticle motion in arbitrary geometries and flow fields, while simultaneously enabling us to study carrier adhesion mediated by biological reactions (receptor-ligand interactions) at the vessel wall at a specified finite temperature.

Identifiers

PMID22865935
PMCPMC3410742

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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.