Neural Operator for Training Partial Differential Equations

What this field is going to do The previously introduced Physics Informed Neural Network (PINN) directly estimates the solution (field) of PDEs by introducing a loss related to the partial differential equations. While it was a very interesting attempt, it focused on solving only for a single condition, which limited its versatility. Additionally, poor convergence … Continue reading Neural Operator for Training Partial Differential Equations