Author Archives: christopherbatty

Jia-Ming Lu, Tailing Yuan, Zhe-Han Mo, Shi-Min Hu This research presents an efficient multigrid solver for deformable body simulations on unstructured tetrahedral meshes. The method combines the Full Approximation Scheme with Galerkin formulation and introduces a matrix-free vertex block Jacobi … Continue reading →

Jia-Ming Lu, Shi-Min Hu Simulating stiff materials has long posed formidable challenges for traditional physics-based solvers. Explicit time integration schemes demand prohibitively small time steps, while implicit methods necessitate an excessive number of iterations to converge, often yielding visually objectionable … Continue reading →

Elie Diaz, Jerry Hsu, Eisen Montalvo-Ruiz, Chris Giles, Cem Yuksel The efficient simulation of incompressible fluids remains a difficult and open problem. Prior works often make various tradeoffs between incompressibility, stability, and cost. Yet, it is rare to obtain all … Continue reading →

Lixin Ren, Xiaowei He, Shusen Liu, Yuzhong Guo, Enhua Wu Prior research has demonstrated the efficacy of balanced trees as spatially adaptive grids for large-scale simulations. However, state-of-the-art methods for balanced tree construction are restricted by the iterative nature of … Continue reading →

Cuncheng Zhu, Hang Yin, Albert Chern We present a vorticity method for simulating incompressible viscous flows on curved surfaces governed by the Navier–Stokes equations. Unlike previous approaches, our formulation incorporates the often-overlooked Gaussian-curvature-dependent term in the viscous force, which influences … Continue reading →

Daoming Liu, Jonathan Klein, Florian Rist, Wojtek Pałubicki, Sören Pirk, Dominik L. Michels We propose a unified volumetric combustion simulator that supports general wooden structures capturing the multi-phase combustion of charring materials. Complex geometric structures can conveniently be represented in … Continue reading →

Ziyan Xiong, Andrew Leach, Griffith Thomas, Shinjiro Sueda Rigid body simulators using the Gauss–Seidel method have been widely adopted for their simplicity, efficiency, and robustness. However, these methods struggle when simulating stable stacking with frictional contact because, unlike global methods, … Continue reading →

Chen Zhao, Tamar Shinar, Craig Schroeder Recently, Zhao et al . [2024] proposed a new method for constructing signed distance functions from fluid simulation particles. This method was able to achieve superior surface smoothness, noise reduction, and temporal coherence compared … Continue reading →