HAL (France)
open access
Can foundation language models predict fluid dynamics?
The application of deep learning-based, data-driven methods to fluid dynamics problems has attracted significant interest in recent years, due to their potential for faster flow predictions (model inferences) and reduced computational requirements compared to traditional Computational Fluid
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