cellular automata in statistical physics
Cellular automata in statistical physics refers to a computational model that simulates the behavior of a large number of interacting elements (cells) arranged in a grid. Each cell follows a set of predefined rules and updates its state based on the states of neighboring cells. These rules are often governed by statistical probabilities or deterministic formulas, enabling researchers to study the emergent properties and collective behaviors of the system. It provides insights into various physical phenomena and phenomena related to statistical mechanics, such as phase transitions and self-organization.
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