5 citations · 5 across the 3 of their papers we have counts for
4 papers
Unified sparse framework for large-scale simulations using the material point method
Yidong Zhao, Lars Blatny, Xiang Feng +3
The material point method (MPM) is a hybrid particle-grid method widely used for large deformation problems with history-dependent behavior, including geophysical mass flows. Stand…
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…
Adaptive GPU Kinetic Solver for Fluid-Granular Flows
Xingqiao Li, Kui Wu, Haozhe Su +5
Simulating fluid-granular flows is crucial for understanding natural disasters, industrial processes, and visually realistic phenomena in computer graphics. These systems are chall…
Substepping the Material Point Method
Chenfanfu Jiang
Many Material Point Method implementations favor explicit time integration. However large time steps are often desirable for special reasons - for example, for partitioned coupling…