A high-fidelity Eulerian-Lagrangian hybrid solver based on the WaterLily method.
Click a scene to load a complete saved setup (settings + drawn obstacle picture).
Train a neural surrogate to replace the physics solver for fast inference. Trained models are good only inside their training distribution — out-of-range inputs can give physically incorrect results.
Analytical & empirical reference values for the active shape, compared against the live simulation. References are textbook correlations valid only for canonical geometry — custom drawn/STL shapes have no closed-form solution.