Monthly Archives: June 2026

Jiří Minarčík*, Michael Liu* (equal contribution), Keenan Crane, Minchen Li Self-intersections are widespread in surface meshes and invalidate downstream simulation, fabrication, and learning pipelines. Existing approaches typically treat self-intersections as local collision events, but embeddedness (i.e., lack of self-intersections) is … Continue reading →

Yue Chang, Peter Yichen Chen, Eitan Grinspun, Maurizio M. Chiaramonte We present a low-rank Koopman operator formulation for accelerating deformable subspace simulation. Using a Dynamic Mode Decomposition (DMD) parameterization of the Koopman operator, our method learns the temporal evolution of … Continue reading →

Federico Sichetti, Zizhou Huang, Marco Attene, Denis Zorin, Enrico Puppo, Daniele Panozzo, We propose a conservative algorithm to test the geometrical validity of simplicial (triangles, tetrahedra), tensor product (quadrilaterals, hexahedra), and mixed (prisms) elements of arbitrary polynomial order as they … Continue reading →

Anka He Chen, Jerry Hsu, Youssef Ayman, Miles Macklin We present Divide and Truncate (DAT), a unified framework for coupling multi-physics systems through penetration-free collision handling, including rigid bodies, volumetric soft bodies, thin shells, rods, and animated objects. By partitioning … Continue reading →

Daria Nogina, Silvia Sellán Smoothed Particle Hydrodynamics (SPH) simulations rely on accurately and efficiently modeling fluid-solid interactions. However, particle-based coupling strategies introduce non-deterministic discretization errors, and implicit methods achieve high accuracy at the cost of expensive numerical integration. We introduce … Continue reading →

José Antonio Fernández-Fernández, Fabian Löschner, Lukas Westhofen, Andreas Longva, Jan Bender Optimization time integrators are effective at solving complex multi-physics problems including deformable solids with non-linear material models, contact with friction, strain limiting, etc. For challenging problems, Newton-type optimizers are … Continue reading →

Yuqi Meng, Yihao Shi, Kemeng Huang, Zixuan Lu, Ning Guo, Taku Komura, Yin Yang, Minchen Li We present an efficient B-spline finite element method (FEM) for cloth simulation. While higher-order FEM has long promised higher accuracy, its adoption in cloth … Continue reading →

Zhiyong He, Dewen Guo, Minghao Guo, Yili Zhao, Wojciech Matusik, Hao Su, Chenfanfu Jiang, Peter Yichen Chen, Yin Yang Simulating large-scale articulated assemblies poses a significant challenge due to the numerical stiffness and geometric complexity of jointed structures. Conventional rigid … Continue reading →

Nicholas Mcdonald, Guillaume Cordonnier Mountainous terrains evolve over geological timescales through erosion processes driven by the complex interplay of transported quantities such as water, sediment, and rockfall. A key challenge in erosion modeling is the simultaneous simulation of transport and … Continue reading →

Xiaoyu Xiao, Haoxiang Wang, Xiaokang Yang, Mathieu Desbrun, Wei Li Simulating the dynamic, multiscale interactions between granular materials and multiphase fluids remains a significant computational challenge in computer graphics, as the visual complexity of such mixtures arises from strongly coupled … Continue reading →