Cellular automata approach to pattern formation in reaction-diffusion systems

Michel Droz

Physica A: Statistical Mechanics and its Applications, 1997, vol. 240, issue 1, 239-245

Abstract: The dynamics of reaction-diffusion systems in low dimensions is often driven by fluctuations and a simple-minded description in terms of rate equations is not sufficient. Moreover, the emergence of complex patterns in such systems can involve simultaneously several new mechanisms as, for example, aggregation and precipitation. We shall show that the properties of these complex systems can be well understood in the framework of a mesoscopic description based on cellular automata models.

Keywords: Nonequilibrium statistical mechanics; Reaction-diffusion; Pattern formation (search for similar items in EconPapers)
Date: 1997
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437197001477
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:240:y:1997:i:1:p:239-245

DOI: 10.1016/S0378-4371(97)00147-7

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().