Diffusion Limited Aggregation with modified local rules
2012 (English)In: Comptes Rendus de l'Academie Bulgare des Sciences / Proceedings of the Bulgarian Academy of Sciences, ISSN 1310-1331, Vol. 65, no 7, 913-918 p.Article in journal (Refereed) Published
Results from a modified Diffusion Limited Aggregation (DLA) model are presented. The modifications of the classical DLA model are in the attachment to the cluster rules and in the scheme of particle generation/killing. In the classical DLA model, if a particle reaches the growing cluster, it sticks to it immediately and irreversibly and then the next particle is released. We will abandon this original prerequisite, and by changing the sticking probability to the cluster we will change the diffusion regime towards a more kinetic one. For a growing cluster consisting of only one type of particles this variation in the sticking probability is (more or less) a rude violation of the hypothesis for diffusion limitation in the DLA model. Since in a lot of experiments different types of particles are used with different sticking probabilities (e.g. different regimes of attachment), we develop a modified DLA model with two types of particles. The second modification we introduce at that point is a scheme for particle generation/killing we call "second chance" - when a particle is killed after reaching a given limiting distance from the cluster, it is killed and then returned to the point it was originally generated. Thus the model is capable of producing a great variety of growing patterns (fractals, spirals) by changing only a single parameter and we are able to construct a morphological diagram of our generalized DLA model with two different types of particles.
Place, publisher, year, edition, pages
PUBL HOUSE BULGARIAN ACAD SCI, ACADEMICIAN G BONCEV ST, 1113 SOFIA, BULGARIA , 2012. Vol. 65, no 7, 913-918 p.
aggregation, pattern formation, fractals
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-81225ISI: 000307127700006OAI: oai:DiVA.org:liu-81225DiVA: diva2:551051
Funding Agencies|Swedish Research Council||2012-09-102012-09-102012-09-18