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Apr 2, 2026 · Artificial Intelligence
Constrained Symbolic Regression and Weak Form Uncover Laws from Noisy Incomplete Data
By integrating universal physical symmetries, weak‑form integral transformations, and sparse symbolic regression, the authors devise a hybrid framework that extracts governing Navier‑Stokes equations from high‑dimensional, noisy, and partially observed fluid experiments, while also reconstructing hidden pressure and Lorentz force fields.
Navier-Stokesfluid dynamicslatent variables
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