Shentong Mo

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning

Simulating complex fluid flows requires capturing full equilibrium distributions rather than just mean trajectories, yet high-fidelity solvers remain computationally prohibitive. Recent advances, such as Diffusion Graph Networks (DGNs), have combined diffusion models with graph neural networks to sample equilibrium sta...