Category Archives: Uncategorized

Fumiya Narita, Takashi Kanai Tall cell grids have been proposed as an efficient approach to accelerate large-scale liquid simulation. In this framework, regions near the liquid surface are discretized with regular grids, while regions farther away are represented by elongated … Continue reading →

Xiang Feng, Yunuo Chen, Chang Yu, Hao Su, Demetri Terzopoulos, Yin Yang, Joe Masterjohn, Alejandro Castro, Chenfanfu Jiang In this paper, we introduce MPM Lite, a new hybrid Lagrangian/Eulerian method that eliminates the need for particle-based quadrature at solve time. … Continue reading →

Zhanyu Yang, Nikolas Schwarz, Bosheng Li, Dominik Michels, Bedrich Benes, Soren Pirk, Wojtek Palubicki Fungal wood decay is a complex biophysical phenomenon that involves the degradation of a variety of structural wood components, ranging from lignin and carbohydrates to defensive … Continue reading →

Ahmed H. Mahmoud, Rahul Goel, Jonathan Ragan-Kelley, Justin Solomon We present a GPU-based system for automatic differentiation (AD) of functions defined on triangle meshes, designed to exploit the locality and sparsity in mesh-based computation. Our system evaluates derivatives using per-element … Continue reading →

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 →