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Fractionation by persistent random walk and two-coefficient diffusion law

delete2025-06-09
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PRE
AI
H
Ho-Youn Kim
M
M. S. Kim
Y
Yong-Jung Kim
DOI:10.1016/j.physa.2025.130718delete
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Abstract

Abstract

En 中文
• Two-coefficient diffusion law is derived from heterogeneous persistent random walk • Anisotropy and heterogeneity are required to producing diffusion-driven fractionation • Two-coefficient diffusion law matches the recursive relation in numerical results • Monte Carlo simulations support the two-coefficient diffusion law quantitatively

Journal

P
Physica A: Statistical Mechanics and its Applications
IF:
3.1
Papers:
1.3K
Citations:
3.6W

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No organization information available
Cited Papers

Cited Papers

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Random walk models in biology
err2008-04-15
err1.2K
errOAAI
errCodling, Edward A.; Plank, Michael J.; Benhamou, Simon
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Random Walk with Heterogeneous Sojourn Time
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IF0
err2025-02-03
err0
PREAI
errJaywan Chung; Yong-Jung Kim; Min-Gi Lee
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On the modelling of spatially heterogeneous nonlocal diffusion: deciding factors and preferential position of individuals
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IF0
err2022-04-13
err0
PREAI
errMatthieu Alfaro; Thomas Giletti; Yong-Jung Kim; Gwenaël Peltier; Hyowon Seo
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