Literature DB >> 23947890

Spatially dependent relative diffusion of nanoparticles in polymer melts.

Umi Yamamoto1, Kenneth S Schweizer.   

Abstract

We formulate and apply a microscopic statistical-mechanical theory for the non-hydrodynamic relative diffusion coefficient of a pair of spherical nanoparticles in entangled polymer melts based on a combination of Brownian motion, mode-coupling, and polymer physics ideas. The focus is on the mesoscopic regime where particles are larger than the entanglement spacing. The dependence of the non-hydrodynamic friction on interparticle separation, degree of entanglement, and tube diameter is systematically studied. The overall magnitude of the relative diffusivity is controlled by the ratio of the particle to tube diameter and the number of entanglements in a manner reminiscent of single-particle self-diffusion and Stokes-Einstein violations. A rich spatial separation dependence of mobility enhancement relative to the hydrodynamic behavior is predicted even for very large particles, and the asymptotic dependence is derived analytically in the small and large separation limits. Particle separations in excess of 100 nm are sometimes required to recover the hydrodynamic limit. The effects of local polymer-particle packing correlations are found to be weak, and the non-hydrodynamic effects are also small for unentangled melts.

Entities:  

Year:  2013        PMID: 23947890     DOI: 10.1063/1.4817593

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  2 in total

1.  Dynamic cross-correlations between entangled biofilaments as they diffuse.

Authors:  Boyce Tsang; Zachary E Dell; Lingxiang Jiang; Kenneth S Schweizer; Steve Granick
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-10       Impact factor: 11.205

2.  Multiscale Molecular Simulations of Polymer-Matrix Nanocomposites: or What Molecular Simulations Have Taught us About the Fascinating Nanoworld.

Authors:  Georgios G Vogiatzis; Doros N Theodorou
Journal:  Arch Comput Methods Eng       Date:  2017-02-22       Impact factor: 7.302

  2 in total

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