Interaction between Coated Graphite Nanoparticles by Molecular Simulation

Daniel Duque*
Departamento de Física Teórica de la Materia Condensada, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Madrid, Spain
Brian K. Peterson
Air Products and Chemicals, Inc., 7201 Hamilton Boulevard, Allentown, Pennsylvania 18195-1501
Lourdes F. Vega
Institut de Ciencia de Materials de Barcelona, Consejo Superior de Investigaciones Científicas, Campus de la UAB, 08193 Bellaterra, Spain
J. Phys. Chem. C, 2007, 111 (33), pp 12328–12334
DOI: 10.1021/jp070430c
Publication Date (Web): July 31, 2007
Copyright © 2007 American Chemical Society

Abstract

We present and discuss here simulation results for a realistic model of chain molecules anchored on selected nanoparticles. The nanoparticles are taken to be composed of graphite, and the anchored molecules are C12 alkane chains. The main goal is to investigate the effect of the anchored chains on the mediated forces between the coated nanoparticles. We also examine the structure of the anchored chains. The grafting density (the surface density of grafted chains) is identified as a key parameter that drastically affects the chain adsorption and the effective force between nanoparticles. At low grafting densities, the chains are basically adsorbed on the surfaces, while at high grafting densities the chains form brushes. The effect of the temperature on these mediated forces is also investigated following the same procedure. At low grafting densities the force depends weakly on the temperature, indicating a prevalence of energy over entropy. At high grafting densities the conformation of the brushes has a direct impact on the force, which is seen to be clearly temperature dependent. This has strong implications in practical applications, since the possibility to control a colloidal dispersion by means of the temperature is here shown to depend on the grafting density. These results serve both as a source of baseline results useful for comparison and as a stepping stone toward future work with systems that are more involved to simulate.

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History

  • Published In Issue August 23, 2007
  • Received January 18, 2007
    Revised May 31, 2007

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