46 citations · 87 across the 3 of their papers we have counts for
3 papers
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…
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…
cs.GR2019★ 46 cited
Hierarchical Optimization Time Integration for CFL-rate MPM Stepping
Xinlei Wang, Minchen Li, Yu Fang +5
We propose Hierarchical Optimization Time Integration (HOT) for efficient implicit time-stepping of the Material Point Method (MPM) irrespective of simulated materials and conditio…