A Temporal U-Net with perceptual loss and a physics-informed parabolic bridge interpolates sparse fluid observations, cutting MAE to 0.015 from 0.085 while retaining high-frequency turbulent structures.
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Physics-Informed Temporal U-Net for High-Fidelity Fluid Interpolation
A Temporal U-Net with perceptual loss and a physics-informed parabolic bridge interpolates sparse fluid observations, cutting MAE to 0.015 from 0.085 while retaining high-frequency turbulent structures.