PDEs

Mesh-free Eulerian Physics-Informed Neural Networks

We propose a truly mesh free approach for PINNs by sampling directly from the modelled density that is applicable in unbounded or unknown domains and scales to high dimensional setting

Fabricio Arend Torres, Marcello Negri, Monika Nagy-Huber, Maxim Samarin, Volker Roth