Xiao-Li Yuan

A self-consistent physics-informed neural network paradigm for sloshing analysis

Physics-Informed Neural Networks (PINNs) offer a physically driven alternative to conventional computational fluid dynamics, yet their application to sloshing remains largely unexplored. This paper establishes a self-consistent PINN paradigm for two-dimensional linear sloshing that trains exclusively on physical residu...