NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust
A clean two-way dissociation is found: the physics residual is a reliable, backbone-robust trust signal, but a poor correction objective (it does not tell you how to fix it), and a split-conformal layer, which depends only on predictions and σ attains target coverage.
Ali Jabbary, Kasra Ghanavati
· 0 citations