Fragmentation instability in aggregating systems
Arturo Berrones-Santos, Luis Benavides-V\'azquez, Elisa Schaeffer,, Javier Almaguer

TL;DR
This paper introduces a new model for aggregation systems that incorporates an instability threshold, simplifying the complex interactions caused by fragmentation and revealing two distinct behavioral regimes.
Contribution
A novel model that includes an instability threshold to simplify the analysis of fragmentation in aggregating systems, capturing different dynamic regimes.
Findings
Model exhibits two distinct regimes
Simplifies the combinatorics of fragmentation
Provides insights into instability effects
Abstract
The inclusion of a fragmentation mechanism in population balance equations introduces complex interactions that make the analytical or even computational treatment much more difficult than for the pure aggregation case. This is specially true when variable sized fragments are allowed, because of the exponential growth in fragments size combinations with the number of monomers in the exchanges. In this contribution we present a new model that incorporates an instability threshold in the clusters, which induces arbitrary losses or gains of particles by fracture with a substantial simplification of the combinatorics of the process. The model exhibits two different regimes.
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.
