Reformulates CFD inference as self-supervised inpainting on tokenized velocity fields to produce reusable flow priors that handle boundary and geometry shifts better than supervised surrogates.
Holzschuh and Qiang Liu and Georg Kohl and Nils Thuerey , editor =
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Inpainting physics: self-supervised learning for context-driven fluid simulation
Reformulates CFD inference as self-supervised inpainting on tokenized velocity fields to produce reusable flow priors that handle boundary and geometry shifts better than supervised surrogates.