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Transport properties of non-spherical nanoparticles studied by Brownian dynamics: theory and numerical simulations

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  • Naess, S.N.
  • Elgsaeter, A.

Abstract

We have succeeded in extending the Brownian dynamics analyses to systems consisting of non-spherical nanoparticles interconnected by conservative forces or holonomic constraints. The formal theory takes fully into account both nanoparticle size and surface topography. Our theory also incorporates stretching, bending and torsional stiffness between nearest neighbor subunits, excluded volume effects, external force fields, fluid flow and fluid-dynamic interactions. The generalized conformation-space diffusion equations are rigorously derived from kinetic theory. The equivalent stochastic differential equations are used as our basis for development of the associated Brownian dynamics algorithms. These algorithms may be employed to carry out equilibrium as well as non-equilibrium simulations of the conformational dynamics and transport properties for a wide class of nanoparticle systems embedded in viscous fluids. To test the validity of the theory and the numerical algorithms, we present the results from a simulation example.

Suggested Citation

  • Naess, S.N. & Elgsaeter, A., 2005. "Transport properties of non-spherical nanoparticles studied by Brownian dynamics: theory and numerical simulations," Energy, Elsevier, vol. 30(6), pages 831-844.
  • Handle: RePEc:eee:energy:v:30:y:2005:i:6:p:831-844
    DOI: 10.1016/j.energy.2004.04.010
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    References listed on IDEAS

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    1. Nalum Naess, Stine & Magne Adland, Hans & Mikkelsen, Arne & Elgsaeter, Arnljot, 2001. "Brownian dynamics simulation of rigid bodies and segmented polymer chains. Use of Cartesian rotation vectors as the generalized coordinates describing angular orientations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 294(3), pages 323-339.
    2. Mikkelsen, Arne & Knudsen, Kenneth D. & Elgsaeter, Arnljot, 1998. "Brownian dynamics simulation of needle-spring chains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 253(1), pages 66-76.
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