Taming Lévy flights in confined crowded geometries. Cieśla, M., Dybiec, B., Sokolov, I., & Gudowska-Nowak, E. Journal of Chemical Physics, American Institute of Physics Inc., 4, 2015.
doi  abstract   bibtex   
© 2015 AIP Publishing LLC. We study two-dimensional diffusive motion of a tracer particle in restricted, crowded anisotropic geometries. The underlying medium is formed from a monolayer of elongated molecules [Cieśla J. Chem. Phys. 140, 044706 (2014)] of known concentration. Within this mesh structure, a tracer molecule is allowed to perform a Cauchy random walk with uncorrelated steps. Our analysis shows that the presence of obstacles significantly influences the motion, which in an obstacle-free space would be of a superdiffusive type. At the same time, the selfdiffusive process reveals different anomalous properties, both at the level of a single trajectory realization and after the ensemble averaging. In particular, due to obstacles, the sample mean squared displacement asymptotically grows sublinearly in time, suggesting a non-Markov character of motion. Closer inspection of survival probabilities indicates, however, that the underlying diffusion is memoryless over long time scales despite a strong inhomogeneity of the motion induced by the orientational ordering.
@article{
 title = {Taming Lévy flights in confined crowded geometries},
 type = {article},
 year = {2015},
 volume = {142},
 month = {4},
 publisher = {American Institute of Physics Inc.},
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 abstract = {© 2015 AIP Publishing LLC. We study two-dimensional diffusive motion of a tracer particle in restricted, crowded anisotropic geometries. The underlying medium is formed from a monolayer of elongated molecules [Cieśla J. Chem. Phys. 140, 044706 (2014)] of known concentration. Within this mesh structure, a tracer molecule is allowed to perform a Cauchy random walk with uncorrelated steps. Our analysis shows that the presence of obstacles significantly influences the motion, which in an obstacle-free space would be of a superdiffusive type. At the same time, the selfdiffusive process reveals different anomalous properties, both at the level of a single trajectory realization and after the ensemble averaging. In particular, due to obstacles, the sample mean squared displacement asymptotically grows sublinearly in time, suggesting a non-Markov character of motion. Closer inspection of survival probabilities indicates, however, that the underlying diffusion is memoryless over long time scales despite a strong inhomogeneity of the motion induced by the orientational ordering.},
 bibtype = {article},
 author = {Cieśla, M. and Dybiec, B. and Sokolov, I. and Gudowska-Nowak, E.},
 doi = {10.1063/1.4919368},
 journal = {Journal of Chemical Physics},
 number = {16}
}

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