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Cellular automata (CA) models have been widely used to simulate complex spatial phenomena.
This numerical modeling method proposed can be used to simulate complex mechanical behaviors of rock-masses induced by underground mining.
This study has demonstrated that the process-based modelling approach can be effectively used to simulate complex geological environments and quantify controlling factors.
This integration is typically in the form of a mathematical model that can be used to simulate complex cellular behaviors based on a limited amount of biological data.
This technique has been used to simulate complex 2D wave-like structures and narrow linear channels, which are shown in Fig. 8. Another recent work has demonstrated a novel skin-simulating phantom.
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Agents have been frequently used to simulate various complex systems [28, 29].
A simple analytical model could be used to simulate the complex hydrogeological problem reasonably.
This paper presents an individual-based probabilistic model used to simulate the complex dynamics of populations and their associated fisheries.
As a preferable modelling approach, the cellular automaton (CA) has been used to simulate the complex mechanisms of fire spreading.
The agreement shows that the LES method can be used to simulate the complex flow fields in stirred tanks.
The Computational Fluid Dynamics (CFD) is used to simulate the complex transient behavior of gas solid flow.
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