Enabling Automatic Differentiation with Mollified Graph Neural Operators

Ryan Y. Lin, Julius Berner, Valentin Duruisseaux +5

Physics-informed neural operators offer a powerful framework for learning solution operators of partial differential equations (PDEs) by combining data and physics losses. However,…