We just added two new publications. One of them focuses on robust decompositions of fluid flows into vortex filaments, and it will be presented at SCA 2017 in Los Angeles soon. You can find all detail on the accompanying page, and you can see a preview below.
The other work targets generative neural networks (full details here). In this case the network actually generates a dense space-time deformation field to capture spaces of liquid behavior. We have also created a proof-of-concept Android app (Lukas Prandtl was the main driving force behind this one), which you can download to try it out yourself. The app evaluates the full trained neural network every time you tap to synthesize the corresponding deformation field. This is especially tough in our setting, as the network employs 4D deconvolution layers that need to be evaluated on the mobile device.