Inpainting physics: self-supervised learning for context-driven fluid simulation

ArXi:2605.08832v1 Announce Type: new Neural surrogate models for computational fluid dynamics (CFD) are typically trained as forward operators that map explicit problem specifications, such as geometry and boundary conditions, to solution fields. This ties the model to the conditioning variables seen during