Cellular automata models for complex matter

  • Authors:
  • Dominique Désérable;Pascal Dupont;Mustapha Hellou;Siham Kamali-Bernard

  • Affiliations:
  • Laboratoire de Génie Civil & Génie Mécanique, Institut National des Sciences Appliquées, Rennes, France;Laboratoire de Génie Civil & Génie Mécanique, Institut National des Sciences Appliquées, Rennes, France;Laboratoire de Génie Civil & Génie Mécanique, Institut National des Sciences Appliquées, Rennes, France;Laboratoire de Génie Civil & Génie Mécanique, Institut National des Sciences Appliquées, Rennes, France

  • Venue:
  • PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
  • Year:
  • 2007

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Abstract

Complex matter may lie in various forms from granular matter, soft matter, fluid-fluid or solid-fluid mixtures to compact heterogeneous material. Cellular automata models make a suitable and powerful tool to catch the influence of the microscopic scale onto the macroscopic behaviour of these complex systems. Rather than a survey, this paper will attempt to bring out the main concepts underlying these models and to give an insight for future work.