Monthly Archives: September 2026

Kevin You, Juntian Zheng, Minchen Li Dynamic simulation of elastic bodies is a longstanding task in engineering and computer graphics. In graphics, numerical integrators like implicit Euler and BDF2 are preferred due to their stability at large time steps, but … Continue reading →

Caoliwen Wang, Minghao Guo, Siyuan Chen, Heng Zhang, Mengdi Wang, Xingyu Ni, Hanson Sun, Kunyi Wang, Zherong Pan, Kui Wu, Lingjie Liu, Yin Yang, Chenfanfu Jiang, Taku Komura, Wojciech Matusik, Peter Yichen Chen A unified simulator that can model diverse … Continue reading →

Xukun Luo, Xiao Chen, Yuzhong Guo, Ying Qiao, Wenchen Wang, Xiaowei He We propose Semi-Implicit Pairwise Descent (SIPD), a unified nonlocal pairwise framework for simulating large-scale hyperelastic materials involving complex contact and friction. By reformulating the Finite Element Method (FEM) … Continue reading →

Xingyu Ni, Jiong Chen†, Siyuan Chen, Caoliwen Wang, Mathieu Desbrun, Taku Komura Poisson equations arise pervasively in computer graphics, yet efficiently solving them on unbounded domains remains a long-standing challenge. Existing approaches attempting to model boundary conditions at infinity either … Continue reading →

Zhiyang Dou, Ang Zhao, Chen Peng, Minghao Guo, Haixu Wu, Cheng Lin, Yuan Liu, Junfeng Yao, Xiaohu Guo, Wenping Wang, Wojciech Matusik Rigid-body interpenetration frequently occurs in procedurally assembled and generated scenes and must be removed before downstream applications such … Continue reading →

Joel Wretborn, Alexey Stomakhin, Christopher Batty We present a novel method for simulating large-scale, high density-ratio two-phase immiscible flows. Our approach adopts a two-fluid mixture formulation discretized on a shared Eulerian grid, in which phase fractions are represented using Lagrangian … Continue reading →

Yuhao Quan, Hui Wang, Weile Lian, Zhi Wang, Xubo Yang This paper presents a highly efficient and robust differentiable fluid framework centered on a novel surrogate gradient method that utilizes the flow map structural advantages. Our key insight reveals a … Continue reading →

Jan Bender, Stefan Rhys Jeske, Timna Böttcher, Fabian Löschner In recent years, the Smoothed Particle Hydrodynamics (SPH) approach has been increasingly used for multiphase simulations involving interactions between diverse materials. A critical component of an SPH simulator is the pressure … Continue reading →

Hui Wang, Jinjin He, Xubo Yang We present a novel particle flow map framework for the high-fidelity simulation of complex two-phase flows. Our method is built upon a unified Lagrangian formulation in which a shared flow map jointly governs the … Continue reading →