United States Bureau of Reclamation

Physics-Informed Deep-Operator Learning for Computational Hydraulics Modeling

Abstract Traditional two-dimensional (2D) hydraulic models face significant computational challenges (e.g., long computing times) that limit their use in applications that are time-sensitive or require many model evaluations. This study presents a physics-informed deep-operator n...