Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs

S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh +4

Existing work in scientific machine learning (SciML) has shown that data-driven learning of solution operators can provide a fast approximate alternative to classical numerical par…