Scientific simulations are computational models that replicate real-world processes to predict the behavior of complex systems under various conditions. These simulations are vital for understanding phenomena in fields like physics, biology, and engineering, as they allow researchers to visualize and analyze scenarios that may be difficult or impossible to observe directly. By using mathematical equations and algorithms, scientific simulations enable scientists to experiment with parameters and assess potential outcomes efficiently.
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