Author manuscript, published in "ACM Transactions on Graphics (Proceedings of SIGGRAPH 2007) (2007)" A Fast Variational Framework for Accurate Solid-Fluid Coupling

Citations in the corpus

• The affine particle-in-cell method (2015, background): “developed a number of extensions to [Zhu and Bridson 2005], including improved treatment of boundary conditions in irregular domains and coupling with rigid bodies [Batty et al. 2007], viscosity treatment [Batty and Bridson 2008], Discontinuous-Galerkin-based adaptivity [Edwards and Bridson 2014], m”
• Fluid directed rigid body control using deep reinforcement learning (2018, methodology): “Two-way coupling methods have been developed for grid-based simulators [Batty et al. 2007; Robinson-Mosher et al. 2008] and particle-based simulators [Akinci et al.”
• A moving least squares material point method with displacement discontinuity and two-way rigid body coupling (2018, methodology): “Becker et al. [2009] achieved two-way coupling of compressible SPH and rigid bodies by sampling boundary particles on rigid bodies and using a predictor-corrector scheme to compute forces on particles.”
• Data-driven synthesis of smoke flows with CNN-based feature descriptors (2017, unknown): “E.g., more accurate Eulerian advection schemes [Kim et al. 2005; Selle et al. 2008] are often employed, an alternative to which are Lagrangian versions [Magnus et al. 2011; Rasmussen et al. 2003].”
• Eulerian solid-fluid coupling (2016, methodology): “In graphics, there has been much work coupling fluids to rigid bodies [Takahashi et al. 2002; Carlson et al. 2004; Klingner et al. 2006; Batty et al. 2007], as well as rigid and deformable shells [Guendelman et al.”
• Guiding of smoke animations through variational coupling of simulations at different resolutions (2009, methodology): “We plan to address this in future work, possibly by adapting the methods for handling thin shells by Guendelman et al. [GSLF05] and the accurate, variational boundary coupling of Batty et al. [ BBB07 ].”