Physics-Informed Deep Compositional Operator Network for Solving Parametric Partial Differential Equations

A novel physics-informed neural operator architecture, called Physics-informed Deep Compositional Operator Network (PI-DCON), is introduced that can generalize across different discretizations of PDE parameters and handle irregular domain shapes without requiring any training data.