Cellular Automata Modeling of Physical Systems

By Bastien Chopard. Encyclopedia of Complexity and Systems Science, 2009

813 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/d32d3a55e075eaa0562fc06d6688d631b88aa02a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Jonas Lätt
2. Jean-Luc Falcone
3. Andrés Tovar
4. John E. Renaud
5. Neal M. Patel
6. A. Kaushik
7. Huchuan Lu
8. Bastien Chopard

In Computational Theory and Mathematics

1. Jean-Luc Falcone
2. Jonas Lätt
3. Andrés Tovar
4. John E. Renaud
5. Neal M. Patel
6. A. Kaushik
7. Huchuan Lu
8. Yiqun Xu

In Control and Systems Engineering

1. Jean-Luc Falcone
2. Jonas Lätt
3. Andrés Tovar
4. John E. Renaud
5. Neal M. Patel
6. A. Kaushik

Citations in the corpus

• The lattice Boltzmann advection-diffusion model revisited (2009, methodology): “Then, a first-order multiscale Chapman-Enskog expansion (see [2,9]) applied on eq.”
• Saliency detection via Cellular Automata (2015, background): “Due to the compactness of boundary clusters, we can generate different color distinction maps with complementary advantages and integrate them by taking spatial distance into consideration.”
• Optimality Conditions of the Hybrid Cellular Automata for Structural Optimization (2007, methodology): “In other words, the rule is homogeneous, that is, it does not depend on the position of the cell [40].”