Monthly Archives: June 2026

Kangrui Zhang, Ruihong Cen, Siyan Zhu, Ruoyan Chen, Bo Ren We present DIQ-MPM, a novel monolithic two-way coupling framework for simulating interactions between solids modeled with the total Lagrangian formulation and Eulerian incompressible fluids using the Material Point Method (MPM). … Continue reading →

Gilles Daviet We present a family of mixed Material Point Methods well suited to CFL-rate simulation of stiff elastoviscoplastic materials, up to the incompressible limit. Our work builds on the mixed discretization from Daviet and Bertails-Descoubes [2016a] and extends it … Continue reading →

Li Liao, Pengfei Shen, Yifan Peng Eigenanalysis of partial differential operators is central to reduced-order physical simulation, but neural shape-space eigenanalysis has largely been limited to natural Neumann boundary conditions. This prevents direct control over supports, openings, heat-exchange boundaries, and … Continue reading →

Lorenzo Diazzi, Jiacheng Dai, Daniele Panozzo, Marco Attene We present an algorithm that produces high quality tetrahedral meshes conforming with input polyhedra. Our meshing algorithm is based on Ruppert’s Delaunay refinement where convergence is guaranteed thanks to a novel chamfering … Continue reading →

Aleksei Kalinov, Mickaël Ly, Christian Hafner, Chris Wojtan The appearance of simulated natural phenomena heavily depends on the way surfaces are textured. However, applying texture maps to dynamic deformable surfaces presents a significant challenge, due to ever-shifting differences in length … Continue reading →

Xuwen Chen, Junyu Wang, Cheng Yu, Xingyu Ni, Meng Zhang, Bin Wang, Mengyu Chu, Baoquan Chen Continuous Collision Detection is essential in simulation and modeling for accurately identifying object collisions. While robust CCD techniques have matured for triangle meshes, ensuring … Continue reading →

Behrooz Zarebavani, Ahmed H. Mahmoud, Ana Dodik, Changcheng Yuan, Serban D. Porumbescu, John D. Owens, Maryam Mehri Dehnavi, Justin Solomon We present a fast sparse matrix permutation algorithm tailored to linear systems arising from triangle meshes. Our approach produces nested-dissection-style … Continue reading →

Zhen Chen, Etienne Vouga, Danny M. Kaufman While thin shells have ubiquitous applications and have been studied inside and outside computer graphics for decades, there is little consensus on how to best discretize them. We systematically study models for simulating … Continue reading →

Shusen Liu, Yuzhong Guo, Lixin Ren, Ying Qiao, Xiaowei He Simulating free-surface flows requires capturing the effects of incompress-ibility, viscosity, and surface tension. Existing particle-based methods oftenrely on operator splitting, which introduces coupling artifacts and limits sta-bility. We propose a … Continue reading →

Yizao Tang, Yuechen Zhu, Xingyu Ni, Baoquan Chen The simulation of sand–water mixtures requires capturing the stochastic behavior of individual sand particles within a uniform, continuous fluid medium, such as the characteristic of migration, deposition, and plugging across various scenarios. … Continue reading →