Paper Info
Title
Multi-particle cellular-automata models for diffusion simulation
Abstract
Two new cellular-automata models of the diffusion process are proposed. They are based on integer states of cells instead of Boolean ones in the known models: asynchronous naive diffusion by Toffolli and block-synchronous Margolus diffusion. Computing experiments have been carried out with these models; they demonstrate a good correlation with this physical phenomenon. The main advantages of the proposed models are (i) low automata noise and (ii) variable diffusion rate.
Year
DOI
Venue
2010
10.1007/978-3-642-14822-4_23
MTPP
Keywords
Field
DocType
integer state,diffusion simulation,variable diffusion rate,computing experiment,block-synchronous margolus diffusion,asynchronous naive diffusion,diffusion process,low automata noise,multi-particle cellular-automata model,good correlation,known model,computer experiment,cellular automata
Statistical physics,Integer,Asynchronous communication,Cellular automaton,Diffusion process,Computer science,Automaton,Theoretical computer science,Diffusion,Particle
Conference
Volume
ISSN
ISBN
6083
0302-9743
3-642-14821-2
Citations 
PageRank 
References 
3
0.64
1
Authors
1
Name
Order
Citations
PageRank
Yu. Medvedev141.08