AI RESEARCH
AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling
arXiv CS.LG
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ArXi:2605.05586v1 Announce Type: new Aerodynamic surrogate models are increasingly used to replace repeated high-fidelity CFD evaluations in many-query design settings, but current approaches still face two important limitations: they often scale poorly to the very large fields arising in realistic 3D aerodynamics, and they rarely produce latent representations that are directly useful for analysis and design. We