Fragmentation instability in aggregating systems

Autor:	Arturo Berrones-Santos, Luis Benavides-Vázquez, Elisa Schaeffer, Javier Almaguer
Rok vydání:	2022
Předmět:	Statistics and Probability Statistical Mechanics (cond-mat.stat-mech) FOS: Physical sciences Statistical and Nonlinear Physics Disordered Systems and Neural Networks (cond-mat.dis-nn) Condensed Matter - Disordered Systems and Neural Networks Condensed Matter - Statistical Mechanics
Zdroj:	Physica A: Statistical Mechanics and its Applications. 594:127021
ISSN:	0378-4371
DOI:	10.1016/j.physa.2022.127021
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e96df4cc7611c0f93200fb5df4ef5f41 https://doi.org/10.1016/j.physa.2022.127021 Zobrazit plný text záznamu Full Text from ScienceDirect