A differentiable-physics solver reconstructed wall shear stress accurately from limited passive-scalar data in 2D and 3D flow benchmarks, outperforming physics-informed neural networks in most scenarios.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.flu-dyn 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Wall Shear Stress Reconstruction from Concentration: Differentiable Physics and Physics-Informed Neural Networks
A differentiable-physics solver reconstructed wall shear stress accurately from limited passive-scalar data in 2D and 3D flow benchmarks, outperforming physics-informed neural networks in most scenarios.