The truth is that current fluid mechanics equations are too complex to be solved accurately even on the most powerful computers. According to scientists, simulating the airflow around an airplane would require a large amount of memory. This is where artificial intelligence comes to the rescue. This is the first time researchers have used it not for modelling, but to understand the nature of turbulence.
After analyzing a massive database, scientists created a neural network that can predict the behavior of turbulent flow. They then removed small structures from the model step by step and evaluated their impact on the overall picture using a special algorithm.
Now, thanks to experiments with real data obtained at the University of Melbourne, scientists are confident that their method can be applied to real flows, opening up a fundamentally new way to unravel the mysteries of turbulence.
Source: Ferra
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