Anomalous Transport: Applications, Mathematical Perspectives, and Big Data

78.9K

views

62

authors

20

articles

Anomalous Transport: Applications, Mathematical Perspectives, and Big Data

78.9K

views

62

authors

20

articles

Editorial

23 November 2020

Editorial: Anomalous Transport: Applications, Mathematical Perspectives, and Big Data

Carlos Mejía-Monasterio

,

Ralf Metzler

and

Jürgen Vollmer

2,326 views

1 citations

Editors

3

Ralf Metzler

University of Potsdam

Carlos Mejía-Monasterio

Polytechnic University of Madrid

Jürgen Vollmer

Institute for Theoretical Physics, Faculty of Physics and Earth Sciences, Leipzig University

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Diffusion addresses the broadening of distribution functions in the course of time. When the variance grows linearly, we speak of diffusion; otherwise, the transport is anomalous. Anomalous transport is observed in a vast variety of systems like transport in porous media and other complex geometries,
in solid-state disordered systems, crowded environments of cell interiors, the collective behavior of living organisms, and heat transport in low-dimensional systems.

There is a wealth of theoretical research devoted to mechanisms that can induce anomalous transport. However, the past decade has vividly changed the field. Video Microscopy and particle tracking are providing a rapidly increasing wealth of highly-resolved experimental observations. Moreover, numerical simulations of ensembles of trajectories are now feasible also for disordered systems where one must average over many realizations of the geometry. The resulting data sets should best be addressed from a big data perspective to extract characteristic transport properties. Firstly, this poses challenges for the automatic data processing and parameter inference. Secondly, it calls for new mathematical perspectives that underpin the data analysis from a unified point of view. In particular, data sets are big enough now to address the anomalous decay of correlations in the dynamics and to search for universality in the transport.

The aim of this Research Topic is to unify different visions, approaches and methodologies around the field of anomalous diffusion. We welcome contributions that review the current state of affairs in different fields of applications and mathematical models, opinion papers pointing towards urging open challenges, and original research articles. Altogether, they will provide a thorough overview of the status of the field, and insight into the main directions of current research.

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Editors

Ralf Metzler

University of Potsdam

Carlos Mejía-Monasterio

Polytechnic University of Madrid

Jürgen Vollmer

Institute for Theoretical Physics, Faculty of Physics and Earth Sciences, Leipzig University

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62,222 Article views

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2,766 Topic views

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Frontiers in Physics

Interdisciplinary Physics

Frontiers in Applied Mathematics and Statistics

Mathematics of Computation and Data Science

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