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International Conference on Cellular Automata

ACRI 2014: Cellular Automata pp 187–196Cite as

Overview of Cellular Automaton Models for Corrosion

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8751))

Abstract

A review of corrosion process modeling using cellular automata methods is presented. This relatively new and growing approach takes into account the stochastic nature of the phenomena and uses physico-chemical rules to make predictions at a mesoscopic scale. Milestone models are analyzed and perspectives are established.

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Author information

Authors and Affiliations

  1. CEA, DEN, DANS, DPC, Service de Corrosion et du Comportement des Matériaux dans leur Environnement, 91 191, Gif sur Yvette Cedex, France

    Cristian Felipe Pérez-Brokate, Damien Féron & Jacques De Lamare

  2. Institut de Recherche de Chimie Paris, CNRS – Chimie ParisTech, 11 rue Pierre et Marie Curie, 75005, Paris, France

    Dung di Caprio

  3. Laboratoire Analyse et Modélisation pour la Biologie et l’Environnement, UMR 8587, CNRS-CEA-Université d’Evry Val d’Essonne, Bd F. Mitterrand, 91 025, Evry, France

    Damien Féron & Annie Chaussé

Authors
  1. Cristian Felipe Pérez-Brokate
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  2. Dung di Caprio
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  3. Damien Féron
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  4. Jacques De Lamare
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  5. Annie Chaussé
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Editor information

Editors and Affiliations

  1. Dept. of Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland

    Jarosław Wąs

  2. Dept. of Electrical and Computer Engineering, Democritus University of Thrace, 67100, Xanthi, Greece

    Georgios Ch. Sirakoulis

  3. CSAI - Complex Systems and Artificial Intelligence Research Center, University of Milano-Bicocca, 20126, Milan, Italy

    Stefania Bandini

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© 2014 Springer International Publishing Switzerland

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Pérez-Brokate, C.F., di Caprio, D., Féron, D., De Lamare, J., Chaussé, A. (2014). Overview of Cellular Automaton Models for Corrosion. In: Wąs, J., Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2014. Lecture Notes in Computer Science, vol 8751. Springer, Cham. https://doi.org/10.1007/978-3-319-11520-7_20

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  • DOI: https://doi.org/10.1007/978-3-319-11520-7_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11519-1

  • Online ISBN: 978-3-319-11520-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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