Author Archives: christopherbatty

Bo Ren, Ben Xu, Chenfeng Li Porous materials are common in daily life. They include granular material (e.g. sand) that behaves like liquid flow when mixed with fluid and foam material (e.g. sponge) that deforms like solid when interacting with … Continue reading →

Yue Chang, Shusen Liu, Xiaowei He, Sheng Li, Guoping Wang The treatment of solid boundary conditions remains one of the most challenging parts in the SPH method. We present a semi-analytical approach to handle complex solid boundaries of arbitrary shape. … Continue reading →

Chengguizi Han*, Tao Xue*, Mridul Aanjaneya We propose a Lagrangian particle-based formulation for simulating deformation, fracture, and diffusion in thin membrane-like structures, such as aluminium foil, rubbery films, and seaweed flakes. We integrate our model with diffusion processes and derive … Continue reading →

Tetsuya Takahashi, Christopher Batty We propose FrictionalMonolith, a monolithic pressure-friction-contact solver for more accurately, robustly, and efficiently simulating two-way interactions of rigid bodies with continuum granular materials or inviscid liquids. By carefully formulating the components of such systems within a … Continue reading →

Qiaodong Cui, Timothy Langlois, Pradeep Sen, and T. Kim We introduce a fast, expressive method for simulating fluids over radial domains, including discs, spheres, cylinders, ellipses, spheroids, and tori. We do this by generalizing the spectral approach of Laplacian Eigenfunctions, … Continue reading →

Yong Li, Shoaib Kamil, Alec Jacobson, Yotam Gingold Communicating linear algebra in written form is challenging: mathematicians must choose between writing in languages that produce well-formatted but semantically-underdefined representations such as LaTeX; or languages with well-defined semantics but notation unlike … Continue reading →

Jing Li, Tiantian Liu, Ladislav Kavan, Baoquan Chen We propose a new algorithm for updating a Cholesky factorization which speeds up Projective Dynamics simulations with topological changes. Our approach addresses an important limitation of the original Projective Dynamics, i.e., that … Continue reading →

Yuchen Sun*, Xingyu Ni*, Bo Zhu, Bin Wang, Baoquan Chen We propose a novel numerical scheme to simulate interactions between a magnetic field and nonlinearly magnetized objects immersed in it. Under our nonlinear magnetization framework, the strength of magnetic forces is effectively saturated to … Continue reading →

J. A. Amador Herrera, T. Hädrich, W. Pałubicki, D. T. Banuti, S. Pirk, D. L. Michels. Due to the complex interplay of various meteorological phenomena, simulating weather is a challenging and open research problem. In this contribution, we propose a … Continue reading →

Kai Bai, Chunhao Wang, Mathieu Desbrun, Xiaopei Liu Predicting the fine and intricate details of a turbulent flow field in both space and time from a coarse input remains a major challenge despite the availability of modern machine learning tools. … Continue reading →