Learning in the Transverse Subspace: A Minimal Representation for Divergence-Free Operator Learning
cs.LG, physics.flu-dyn
Submitted: 2026-09-27
Updated: 2026-09-27
Sources
- Unsupervised 4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks
- Decoupled Divergence-Free Neural Networks Basis Method for Incompressible Fluid Problems
- Project and Generate: Divergence-Free Neural Operators for Incompressible Flows
- Fluids You Can Trust: Property-Preserving Operator Learning for Incompressible Flows
- Physics-Constrained Generative Adversarial Networks for 3D Turbulence
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