A comparative study benchmarking autoencoders against parsimonious diffusion maps (PDMs) grounded in classical numerical analysis for reduced-order modeling of Navier-Stokes turbulent flows.
See LICENSE fileNavier-StokesReduced-Order ModelingAutoencoder
An open-source reinforcement learning platform for flow control that couples six CFD solver backends with dozens of pre-configured environments; trained policies transfer zero-shot to a wing and cut skin-friction drag substantially.
MIT (code) / Nature paperFlow ControlReinforcement LearningDrag Reduction
Classic experimental & simulation dataset of turbulent wakes/cavity flows from TU Delft - covers multiple bluff-body flows, a standard CFD validation benchmark.
