- NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
- Learning to Estimate and Refine Fluid Motion with Physical Dynamics
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
- Inverse Design for Fluid-Structure Interactions using Graph Network Simulators
- AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions