An Introduction to Non-diffusive Transport Models
Alexandre Bovet

TL;DR
This paper introduces non-diffusive transport models, highlighting their importance in various scientific fields, and discusses generalizations of classical diffusion such as CTRW and fractional Lévy motion.
Contribution
It provides an accessible introduction to non-diffusive transport models, focusing on generalizations beyond classical diffusion like CTRW and fractional Lévy motion.
Findings
Non-diffusive processes exhibit long-range correlations.
Classical diffusion assumptions are often violated in real systems.
Generalized models better describe complex transport phenomena.
Abstract
The process of diffusion is the most elementary stochastic transport process. Brownian motion, the representative model of diffusion, played a important role in the advancement of scientific fields such as physics, chemistry, biology and finance. However, in recent decades, non-diffusive transport processes with non-Brownian statistics were observed experimentally in a multitude of scientific fields. Examples include human travel, in-cell dynamics, the motion of bright points on the solar surface, the transport of charge carriers in amorphous semiconductors, the propagation of contaminants in groundwater, the search patterns of foraging animals and the transport of energetic particles in turbulent plasmas. These examples showed that the assumptions of the classical diffusion paradigm, assuming an underlying uncorrelated (Markovian), Gaussian stochastic process, need to be relaxed to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDiffusion and Search Dynamics · Fractional Differential Equations Solutions · Stochastic processes and statistical mechanics
