Pattern formation in a two-dimensional two-species diffusion model with anisotropic nonlinear diffusivities: a lattice approach
Тип публикации: Journal Article
Дата публикации: 2017-09-18
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SJR: 0.378
CiteScore: 4.5
Impact factor: 1.9
ISSN: 17425468
Statistical and Nonlinear Physics
Statistics and Probability
Statistics, Probability and Uncertainty
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Diffusion in a two-species two-dimensional system has been simulated using a lattice approach. Rodlike particles were considered as linear k-mers of two mutually perpendicular orientations (kx- and ky-mers) on a square lattice. These kx- and ky-mers were treated as species of two kinds. A random sequential adsorption model was used to produce an initial homogeneous distribution of k-mers. The concentration of k-mers, p, was varied in the range from 0.1 to the jamming concentration, pj. By means of the Monte Carlo technique, translational diffusion of the k-mers was simulated as a random walk, while rotational diffusion was ignored. We demonstrated that the diffusion coefficients are strongly anisotropic and nonlinearly concentration-dependent. For sufficiently large concentrations (packing densities) and k⩾6, the system tends toward a well-organized steady state. Boundary conditions predetermine the final state of the system. When periodic boundary conditions are applied along both directions of the square lattice, the system tends to a steady state in the form of diagonal stripes. The formation of stripe domains takes longer time the larger the lattice size, and is observed only for concentrations above a particular critical value. When insulating (zero flux) boundary conditions are applied along both directions of the square lattice, each kind of k-mer tries to completely occupy a half of the lattice divided by a diagonal, e.g. kx-mers locate in the upper left corner, while the ky-mers are situated in the lower right corner (‘yin–yang’ pattern). From time to time, regions built of kx- and ky-mers exchange their locations through irregular patterns. When mixed boundary conditions are used (periodic boundary conditions are applied along one direction whereas insulating boundary conditions are applied along the other one), the system still tends to form the stripes, but they are unstable and change their spatial orientation.
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Tarasevich Y. Yu. et al. Pattern formation in a two-dimensional two-species diffusion model with anisotropic nonlinear diffusivities: a lattice approach // Journal of Statistical Mechanics: Theory and Experiment. 2017. Vol. 2017. No. 9. p. 93203.
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Tarasevich Y. Yu., Laptev V. V., Burmistrov A. S., Lebovka N. I. Pattern formation in a two-dimensional two-species diffusion model with anisotropic nonlinear diffusivities: a lattice approach // Journal of Statistical Mechanics: Theory and Experiment. 2017. Vol. 2017. No. 9. p. 93203.
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TY - JOUR
DO - 10.1088/1742-5468/aa82bf
UR - https://iopscience.iop.org/article/10.1088/1742-5468/aa82bf
TI - Pattern formation in a two-dimensional two-species diffusion model with anisotropic nonlinear diffusivities: a lattice approach
T2 - Journal of Statistical Mechanics: Theory and Experiment
AU - Tarasevich, Yuri Yu
AU - Laptev, Valeri V.
AU - Burmistrov, Andrei S.
AU - Lebovka, Nikolai I
PY - 2017
DA - 2017/09/18
PB - IOP Publishing
SP - 93203
IS - 9
VL - 2017
SN - 1742-5468
ER -
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@article{2017_Tarasevich,
author = {Yuri Yu Tarasevich and Valeri V. Laptev and Andrei S. Burmistrov and Nikolai I Lebovka},
title = {Pattern formation in a two-dimensional two-species diffusion model with anisotropic nonlinear diffusivities: a lattice approach},
journal = {Journal of Statistical Mechanics: Theory and Experiment},
year = {2017},
volume = {2017},
publisher = {IOP Publishing},
month = {sep},
url = {https://iopscience.iop.org/article/10.1088/1742-5468/aa82bf},
number = {9},
pages = {93203},
doi = {10.1088/1742-5468/aa82bf}
}
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Tarasevich, Yuri Yu., et al. “Pattern formation in a two-dimensional two-species diffusion model with anisotropic nonlinear diffusivities: a lattice approach.” Journal of Statistical Mechanics: Theory and Experiment, vol. 2017, no. 9, Sep. 2017, p. 93203. https://iopscience.iop.org/article/10.1088/1742-5468/aa82bf.
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