#fluid-dynamics2 articles

2 articles

AINeutralarXiv – CS AI · 6h ago1

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Physics-Consistent Diffusion for Efficient Fluid Super-Resolution via Multiscale Residual Correction

Researchers developed ReMD, a physics-consistent diffusion framework that improves fluid super-resolution by incorporating physical constraints and multiscale modeling. The approach addresses limitations of existing image and diffusion models when applied to fluid dynamics, achieving better accuracy and spectral fidelity with fewer sampling steps.

AINeutralarXiv – CS AI · 6h ago0

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Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction

Researchers have developed Fisale, a new AI framework for modeling complex fluid-solid interactions using neural networks inspired by classical Arbitrary Lagrangian-Eulerian methods. The system addresses limitations in existing deep learning approaches by enabling two-way interactions between fluids and solids with unified geometry-aware embeddings.