Tetsuya Takahashi

Differentiable Fluids with Solid Coupling for Learning and Control

We introduce an efficient differentiable fluid simulator that can be integrated with deep neural networks as a part of layers for learning dynamics and solving control problems. It offers the capability to handle one-way coupling of fluids with rigid objects using a variational principle that natura…