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Diffusion amid random overlapping obstacles: similarities, invariants, approximations.
Novak, Igor L; Gao, Fei; Kraikivski, Pavel; Slepchenko, Boris M.
Afiliação
  • Novak IL; Richard D. Berlin Center for Cell Analysis and Modeling, Department of Cell Biology, University of Connecticut Health Center, Farmington, Connecticut 06030, USA. novak@uchc.edu
J Chem Phys ; 134(15): 154104, 2011 Apr 21.
Article em En | MEDLINE | ID: mdl-21513372
ABSTRACT
Efficient and accurate numerical techniques are used to examine similarities of effective diffusion in a void between random overlapping obstacles essential invariance of effective diffusion coefficients (D(eff)) with respect to obstacle shapes and applicability of a two-parameter power law over nearly entire range of excluded volume fractions (φ), except for a small vicinity of a percolation threshold. It is shown that while neither of the properties is exact, deviations from them are remarkably small. This allows for quick estimation of void percolation thresholds and approximate reconstruction of D(eff) (φ) for obstacles of any given shape. In 3D, the similarities of effective diffusion yield a simple multiplication "rule" that provides a fast means of estimating D(eff) for a mixture of overlapping obstacles of different shapes with comparable sizes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Difusão / Modelos Teóricos Idioma: En Ano de publicação: 2011 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Difusão / Modelos Teóricos Idioma: En Ano de publicação: 2011 Tipo de documento: Article