most citedPhysics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil

23 citations · 23 across the 1 of their papers we have counts for

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1 paper

physics.flu-dyn2023★ 23 cited

Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil

Rahul Sundar, Dipanjan Majumdar, Didier Lucor +1

Recently, physics informed neural networks (PINNs) have been explored extensively for solving various forward and inverse problems and facilitating querying applications in fluid m…