activity
20192026
most citedCodimensional Incremental Potential Contact

117 citations · 332 across the 27 of their papers we have counts for

collaborators

28 papers

cs.GR2026

YASPS: A Symbolic Framework for Extensible, High-Performance IPC Simulation

Xuan Tang, Kemeng Huang, Gilbert Bernstein +2

Incremental Potential Contact (IPC) enables robust, contact-rich simulation by casting elasticity and contact as a single energy minimization problem, but high-performance IPC pipe…

cs.CE2026

An Overlapping Schwarz Space-Time Refinement Framework for Material Point Method

Zhaofeng Luo, Minchen Li, Yupeng Jiang

We propose an overlapping Schwarz space-time refinement framework for the material point method (OS-MPM) to improve computational efficiency in problems with strongly localized def…

cs.CE2026

An Implicit Compact-Kernel Material Point Method for Computational Solid Mechanics

Qirui Fu, Yupeng Jiang, Minchen Li

The numerical performance of the material point method (MPM) is strongly governed by the particle-grid kernel, which controls the trade-off among smoothness, locality, numerical di…

cs.GR2026

Energy-Controllable Time Integration for Elastodynamic Contact

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…

cs.GR2025

Penetration-free Solid-Fluid Interaction on Shells and Rods

Yuchen Sun, Jinyuan Liu, Yin Yang +3

We introduce a novel approach to simulate the interaction between fluids and thin elastic solids without any penetration. Our approach is centered around an optimization system aug…

cs.GR2024★ 4 cited

CK-MPM: A Compact-Kernel Material Point Method

Michael Liu, Xinlei Wang, Minchen Li

The Material Point Method (MPM) has become a cornerstone of physics-based simulation, widely used in geomechanics and computer graphics for modeling phenomena such as granular flow…

cs.GR2024★ 4 cited

VR-Doh: Hands-on 3D Modeling in Virtual Reality

Zhaofeng Luo, Zhitong Cui, Shijian Luo +2

We introduce VR-Doh, an open-source, hands-on 3D modeling system that enables intuitive creation and manipulation of elastoplastic objects in Virtual Reality (VR). By customizing t…

cs.GR2024★ 1 cited

StiffGIPC: Advancing GPU IPC for stiff affine-deformable simulation

Kemeng Huang, Xinyu Lu, Huancheng Lin +2

Incremental Potential Contact (IPC) is a widely used, robust, and accurate method for simulating complex frictional contact behaviors. However, achieving high efficiency remains a…

cs.DC2024★ 8 cited

Barrier-Augmented Lagrangian for GPU-based Elastodynamic Contact

Dewen Guo, Minchen Li, Yin Yang +2

We propose a GPU-based iterative method for accelerated elastodynamic simulation with the log-barrier-based contact model. While Newton's method is a conventional choice for solvin…

cs.HC2024★ 2 cited

VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality

Ying Jiang, Chang Yu, Tianyi Xie +8

As consumer Virtual Reality (VR) and Mixed Reality (MR) technologies gain momentum, there's a growing focus on the development of engagements with 3D virtual content. Unfortunately…

cs.CE2023★ 4 cited

Unstructured Moving Least Squares Material Point Methods: A Stable Kernel Approach With Continuous Gradient Reconstruction on General Unstructured Tessellations

Yadi Cao, Yidong Zhao, Minchen Li +4

The Material Point Method (MPM) is a hybrid Eulerian Lagrangian simulation technique for solid mechanics with significant deformation. Structured background grids are commonly empl…

cs.GR2023★ 17 cited

Neural Stress Fields for Reduced-order Elastoplasticity and Fracture

Zeshun Zong, Xuan Li, Minchen Li +6

We propose a hybrid neural network and physics framework for reduced-order modeling of elastoplasticity and fracture. State-of-the-art scientific computing models like the Material…

math.NA2023★ 2 cited

Convergent Incremental Potential Contact

Minchen Li, Zachary Ferguson, Teseo Schneider +5

Recent advances in the simulation of frictionally contacting elastodynamics with the Incremental Potential Contact (IPC) model have enabled inversion and intersection-free simulati…

cs.GR2023★ 1 cited

A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling

Tianyi Xie, Minchen Li, Yin Yang +1

We present a robust and efficient method for simulating Lagrangian solid-fluid coupling based on a new operator splitting strategy. We use variational formulations to approximate f…

cs.AI2022

TPA-Net: Generate A Dataset for Text to Physics-based Animation

Yuxing Qiu, Feng Gao, Minchen Li +3

Recent breakthroughs in Vision-Language (V&L) joint research have achieved remarkable results in various text-driven tasks. High-quality Text-to-video (T2V), a task that has been l…

cs.LG2022★ 5 cited

Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN

Yadi Cao, Menglei Chai, Minchen Li +1

Learning the physical simulation on large-scale meshes with flat Graph Neural Networks (GNNs) and stacking Message Passings (MPs) is challenging due to the scaling complexity w.r.t…

cs.RO2022★ 3 cited

Midas: A Multi-Joint Robotics Simulator with Intersection-Free Frictional Contact

Yunuo Chen, Minchen Li, Wenlong Lu +2

We introduce Midas, a robotics simulation framework based on the Incremental Potential Contact (IPC) model. Our simulator guarantees intersection-free, stable, and accurate resolut…

math.OC2022★ 1 cited

Topology Optimization with Frictional Self-Contact

Zeshun Zong, Xuan Li, Jianping Ye +5

Contact-aware topology optimization faces challenges in robustness, accuracy, and applicability to internal structural surfaces under self-contact. This work builds on the recently…

cs.AI2022★ 1 cited

Complex Locomotion Skill Learning via Differentiable Physics

Yu Fang, Jiancheng Liu, Mingrui Zhang +6

Differentiable physics enables efficient gradient-based optimizations of neural network (NN) controllers. However, existing work typically only delivers NN controllers with limited…

cs.GR2022

Affine Body Dynamics: Fast, Stable & Intersection-free Simulation of Stiff Materials

Lei Lan, Danny M. Kaufman, Minchen Li +2

Simulating stiff materials in applications where deformations are either not significant or can safely be ignored is a pivotal task across fields. Rigid body modeling has thus long…

cs.CE2021

A Large-Scale Benchmark for the Incompressible Navier-Stokes Equations

Zizhou Huang, Teseo Schneider, Minchen Li +3

We introduce a collection of benchmark problems in 2D and 3D (geometry description and boundary conditions), including simple cases with known analytic solution, classical experime…

math.NA2021★ 40 cited

BFEMP: Interpenetration-Free MPM-FEM Coupling with Barrier Contact

Xuan Li, Yu Fang, Minchen Li +1

This paper introduces BFEMP, a new approach for monolithically coupling the Material Point Method (MPM) with the Finite Element Method (FEM) through barrier energy-based particle-m…

math.NA2021★ 34 cited

A barrier method for frictional contact on embedded interfaces

Yidong Zhao, Jinhyun Choo, Yupeng Jiang +3

We present a barrier method for treating frictional contact on interfaces embedded in finite elements. The barrier treatment has several attractive features, including: (i) it does…

cs.GR2020★ 117 cited

Codimensional Incremental Potential Contact

Minchen Li, Danny M. Kaufman, Chenfanfu Jiang

We extend the incremental potential contact (IPC) model for contacting elastodynamics to resolve systems composed of codimensional DOFs in arbitrary combination. This enables a uni…