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most citedOn the Separating Flow Behind a Cylinder: Insights from the Principle of Minimum Pressure Gradient

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physics.flu-dyn2024

Minimizing Nature's Cost: Exploring Data-Free Physics-Informed Neural Network Solvers for Fluid Mechanics Applications

Abdelrahman Elmaradny, Ahmed Atallah, Haithem Taha

In this paper, we present a novel approach for fluid dynamic simulations by harnessing the capabilities of Physics-Informed Neural Networks (PINNs) guided by the newly unveiled pri…