Physics-Informed Neural Operator for Learning Partial Differential Equations
Physics-Informed Neural Operator for Learning Partial Differential Equations
In this article, we propose physics-informed neural operators (PINO) that combine training data and physics constraints to learn the solution operator of a given family of parametric Partial Differential Equations (PDE). PINO is the first hybrid approach incorporating data and PDE constraints at different resolutions to learn the operator. Specifically, …