5 citations · 5 across the 4 of their papers we have counts for
9 papers
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…
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…
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…
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…
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…
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…