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

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cs.CE2025

Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications

Afrah Farea, Saiful Khan, Mustafa Serdar Celebi

Physics-Informed Neural Networks (PINNs) have emerged as a promising machine learning approach for solving partial differential equations (PDEs). However, PINNs face significant ch…