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flow field reconstruction 1hemodynamic indicators 1incompressible navier-stokes 1physics-informed neural networks 1wall shear stress estimation 1

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20242026
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math.NA2026

Physics-Informed Neural Networks for the High-Resolution Reconstruction of Flow Measurement Indicators in Fluid Dynamics

Irena Radišić, Raffaele Tirotta, Alberto Zingaro +2

The paper introduces a physics-informed neural network (PINN) framework that combines incompressible Navier‑Stokes equations with sparse experimental velocity data to reconstruct h…