Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods

Afrah Farea, Saiful Khan, Reza Daryani +2

Physics-informed neural networks (PINNs) have emerged as a promising approach for solving complex fluid dynamics problems, yet their application to fluid-structure interaction (FSI…