3 citations · 5 across the 6 of their papers we have counts for
6 papers
Neural Modular Physics for Elastic Simulation
Yifei Li, Haixu Wu, Zeyi Xu +2
Learning-based methods have made significant progress in physics simulation, typically approximating dynamics with a monolithic end-to-end optimized neural network. Although these…
MeMo: Meaningful, Modular Controllers via Noise Injection
Megan Tjandrasuwita, Jie Xu, Armando Solar-Lezama +1
Robots are often built from standardized assemblies, (e.g. arms, legs, or fingers), but each robot must be trained from scratch to control all the actuators of all the parts togeth…
NeuralFluid: Neural Fluidic System Design and Control with Differentiable Simulation
Yifei Li, Yuchen Sun, Pingchuan Ma +4
We present a novel framework to explore neural control and design of complex fluidic systems with dynamic solid boundaries. Our system features a fast differentiable Navier-Stokes…
A Universal Scaling Law for Intrinsic Fracture Energy of Networks
Chase Hartquist, Shu Wang, Qiaodong Cui +3
Networks of interconnected materials permeate throughout nature, biology, and technology due to exceptional mechanical performance. Despite the importance of failure resistance in…
DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation
Yifei Li, Hsiao-yu Chen, Egor Larionov +3
The realism of digital avatars is crucial in enabling telepresence applications with self-expression and customization. While physical simulations can produce realistic motions for…
Computational Discovery of Microstructured Composites with Optimal Stiffness-Toughness Trade-Offs
Beichen Li, Bolei Deng, Wan Shou +5
The conflict between stiffness and toughness is a fundamental problem in engineering materials design. However, the systematic discovery of microstructured composites with optimal…