Aggregation-diffusion phenomena: from microscopic models to free boundary problems
Inwon Kim, Antoine Mellet, Jeremy Sheung-Him Wu

TL;DR
This paper reviews multiscale models of aggregation-diffusion phenomena, focusing on particle interactions, phase separation, and free boundary problems like Stefan and Hele-Shaw models, highlighting recent theoretical advances and their continuum limits.
Contribution
It provides a comprehensive review of microscopic particle models and their connection to continuum free boundary problems in aggregation-diffusion phenomena.
Findings
Well-posedness results for soft- and hard-sphere models
Derivation of classical nonlinear drift diffusion equations from particle models
Emergence of sharp interfaces described by Stefan and Hele-Shaw problems
Abstract
This paper reviews (and expands) some recent results on the modeling of aggregation-diffusion phenomena at various scales, focusing on the emergence of collective dynamics as a result of the competition between attractive and repulsive phenomena - especially (but not exclusively) in the context of attractive chemotaxis phenomena. At microscopic scales, particles (or other agents) are represented by spheres of radius and we discuss both soft-sphere models (with a pressure term penalizing the overlap of the particles) and hard-sphere models (in which overlap is prohibited). The first case leads to so-called ``blob models" which have received some attention recently as a tool to approximate non-linear diffusion by particle systems. The hard-sphere model is similar to a classical model for congested crowd motion. We review well-posedness results for these models and discuss…
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
TopicsStochastic processes and statistical mechanics · Mathematical Biology Tumor Growth · Theoretical and Computational Physics
