Particle‐Based Simulation of Fluids

By Simon Premoze, Tolga Tasdizen, James Bigler, Aaron E. Lefohn, Ross T. Whitaker. Computer graphics forum (Print), 2003

342 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design

View Paper: https://www.semanticscholar.org/paper/8ae8ad7bd4dd737b9c029b5d484ee79116b23088

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Frank Losasso
2. Ronald Fedkiw
3. Andrew Selle
4. Frédéric Gibou
5. Leonidas J. Guibas
6. Eran Guendelman
7. Mark Pauly
8. Richard Keiser

In Computer Graphics and Computer-Aided Design

1. Frank Losasso
2. Ronald Fedkiw
3. Andrew Selle
4. Eran Guendelman
5. Leonidas J. Guibas
6. Frédéric Gibou
7. Mark Pauly
8. Richard Keiser

Citations in the corpus

• Fluid control using the adjoint method (2004, methodology): “Finally, researchers have recently turned to pure particle methods, based on smoothed particle hydrodynamics (SPH), to model water (cid:3)ows with promising results [Mueller et al. 2003; Premoze et al. 2003].”
• Coupling water and smoke to thin deformable and rigid shells (2005, methodology): “SPH models for water were considered in [Premoze et al. 2003; Muller et al. 2003], and methods of this type were coupled to deformable solids in [Muller et al.”
• Simulating water and smoke with an octree data structure (2004, methodology): “There are also other approaches such as SPH methods [Premoze et al. 2003; Müller et al. 2003].”
• Adaptively sampled particle fluids (2007, methodology): “Particle-based methods for fluid simulation have recently become popular as an alternative to Eulerian schemes (e.g., [Premoze et al. 2003; M¨uller et al. 2003; Clavet et al. 2005; Kipfer and Wester-mann 2006]).”