A simulation is a dynamic application of a model showcasing behavior over time, while a model is a static representation for understanding complex concepts or systems. Both are integral in scientific research, aiding in comprehension and real-time exploration and predictions.
A simulation is a model that runs over time, showing how a specific object or phenomenon behaves, often used for testing or training. On the other hand, models are representations of things too complex to display directly, such as the planetary model of the atom. They help explain observations like the emission of light from hot gases.
In essence, a simulation is a dynamic application of a model, showcasing its behavior over time, while a model is a static representation utilized to understand complex concepts or systems. Both serve crucial roles in scientific research, with models aiding in conceptual comprehension and simulations allowing for real-time exploration and predictions.
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