Cirrus: Adaptive Hybrid Particle-Grid Flow Maps on GPU

Mengdi Wang, Fan Feng, Junlin Li, Bo Zhu We propose the adaptive hybrid particle-grid flow map method, a novel flow-map approach that leverages Lagrangian particles to simultaneously transport impulse and guide grid adaptation, introducing a fully adaptive flow map-based fluid simulation framework. The core idea of our method is to maintain flow-map trajectories separately on […]

Geometric Contact Potential

Zizhou Huang, Max Paik, Zachary Ferguson, Daniele Panozzo, Denis Zorin Barrier potentials gained popularity as a means for robust contact handling in physical modeling and for modeling self-avoiding shapes. The key to the success of these approaches is adherence to geometric constraints, i.e., avoiding intersections, which are the cause of most robustness problems in complex […]

Adaptive Phase-Field-FLIP for Very Large Scale Two-Phase Fluid Simulation

Bernhard Braun, Jan Bender, Nils Thuerey Capturing the visually compelling features of large-scale water phenomena,such as the spray clouds of crashing waves, stormy seas, or waterfalls, involves simulating not only the water but also the motion of the air interacting with it. However, current solutions in the visual effects industry still largely rely on single-phase […]