This website collects our recent publications, project webpages, and code repositories themed on the Particle Flow Map method across computer graphics and computational physics.
PFM in Computer Graphics
Leapfrog Flow Maps for Real-Time Fluid Simulation
Fluid Simulation on Compressible Flow Maps
Clebsch Gauge Fluid on Particle Flow Maps
EDGE: Epsilon-Difference Gradient Evolution for Buffer-Free Flow Maps
Cirrus: Adaptive Hybrid Particle-Grid Flow Maps on GPU
Fluid Simulation on Vortex Particle Flow Maps
An Impulse Ghost Fluid Method for Simulating Two-Phase Flows
Particle-Laden Fluid on Flow Maps
An Eulerian Vortex Method on Flow Maps
Solid-Fluid Interaction on Particle Flow Maps
Eulerian-Lagrangian Fluid Simulation on Particle Flow Maps
Lagrangian Covector Fluid with Free Surface
Fluid Simulation on Neural Flow Maps
PFM in Computational Physics
As part of our ongoing efforts to extend the application scope of PFM from computer graphics to computational physics, we have launched several projects aimed at evaluating its numerical accuracy and convergence rate on standard benchmark tests in computational physics. These projects also include comparisons with other state-of-the-art computational fluid dynamics (CFD) methods such as PIC/FLIP, VIC, and Eulerian VIC. Here we present a collection of preliminary results, demonstrating the potential of PFM as a standard numerical tool capable of preserving vortical structures over long simulation horizons. We will continue updating this section with preprints to showcase our progress in bridging visual computing and scientific computing through the PFM framework.
