Surface Tracking for Large-scale Dynamic Foams and Fluids
Foams produce the most lively phenomena that we encounter in our every-day lives. Think about starch bubbles rising in a rice cooker or soap bubbles filling a bathtub. Simulating such scenarios at a large scale is a challenge, due to constant topology changes, high frequency of degenerate geometry configurations, and huge storage and efficiency requirements. In my talk I will present a new multi-material surface tracking tool, designed to robustly handle large-scale deforming geometry, while preserving surface features. I will show how the algorithm combines explicit and implicit geometry representations, enjoying the advantages of both approaches. Finally, we will discuss how this tool enables extremely detailed simulations and exploration of large scale foams.
Overview
Presenters
Aleksei Kalinov, PhD Student at Institute of Science and Technology Austria
Brief Biography
Aleksei Kalinov is a Ph.D. student at Institute of Science and Technology Austria (ISTA), advised by Chris Wojtan. He performs research in the areas of geometry processing and physically-based simulations, occasionally touching design of efficient algorithms for deep learning. Aleksei holds a Master's degree in Computer Science and Mathematics from Skolkovo Institute of Science and Technology.