Structure-Informed Neural Networks for Boundary Observation Problems

Jakub Horsky, Andrew Wynn

We introduce Structure Informed Neural Networks (SINNs), a novel method for solving boundary observation problems involving PDEs. The SINN methodology is a data-driven framework fo…