National Science Library of Georgia

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Cellular automata modeling of physical systems / Bastien Chopard and Michel Droz.

By: Contributor(s): Material type: TextTextSeries: Collection Aléa-SaclayPublisher: Cambridge : Cambridge University Press, 1998Description: 1 online resource (xii, 341 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511549755 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 530.13/01/1 21
LOC classification:
  • QC174.8 .C49 1998
Online resources:
Contents:
1. Introduction -- 2. Cellular automata modeling -- 3. Statistical mechanics of lattice gas -- 4. Diffusion phenomena -- 5. Reaction-diffusion processes -- 6. Nonequilibrium phase transitions -- 7. Other models and applications.
Summary: This book provides a self-contained introduction to cellular automata and lattice Boltzmann techniques. Beginning with a chapter introducing the basic concepts of this developing field, a second chapter describes methods used in cellular automata modeling. Following chapters discuss the statistical mechanics of lattice gases, diffusion phenomena, reaction-diffusion processes and non-equilibrium phase transitions. A final chapter looks at other models and applications, such as wave propagation and multiparticle fluids. With a pedagogic approach, the volume focuses on the use of cellular automata in the framework of equilibrium and non-equilibrium statistical physics. It also emphasises application-oriented problems such as fluid dynamics and pattern formation. The book contains many examples and problems. A glossary and a detailed bibliography are also included. This will be a valuable book for graduate students and researchers working in statistical physics, solid state physics, chemical physics and computer science.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

1. Introduction -- 2. Cellular automata modeling -- 3. Statistical mechanics of lattice gas -- 4. Diffusion phenomena -- 5. Reaction-diffusion processes -- 6. Nonequilibrium phase transitions -- 7. Other models and applications.

This book provides a self-contained introduction to cellular automata and lattice Boltzmann techniques. Beginning with a chapter introducing the basic concepts of this developing field, a second chapter describes methods used in cellular automata modeling. Following chapters discuss the statistical mechanics of lattice gases, diffusion phenomena, reaction-diffusion processes and non-equilibrium phase transitions. A final chapter looks at other models and applications, such as wave propagation and multiparticle fluids. With a pedagogic approach, the volume focuses on the use of cellular automata in the framework of equilibrium and non-equilibrium statistical physics. It also emphasises application-oriented problems such as fluid dynamics and pattern formation. The book contains many examples and problems. A glossary and a detailed bibliography are also included. This will be a valuable book for graduate students and researchers working in statistical physics, solid state physics, chemical physics and computer science.

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