Chainqueen: A real-time differentiable physical simulator for soft robotics

Y Hu, J Liu, A Spielberg, JB Tenenbaum… - … on robotics and …, 2019 - ieeexplore.ieee.org
Physical simulators have been widely used in robot planning and control. Among them,
differentiable simulators are particularly favored, as they can be incorporated into gradient …

Dark, beyond deep: A paradigm shift to cognitive ai with humanlike common sense

Y Zhu, T Gao, L Fan, S Huang, M Edmonds, H Liu… - Engineering, 2020 - Elsevier
Recent progress in deep learning is essentially based on a “big data for small tasks”
paradigm, under which massive amounts of data are used to train a classifier for a single …

Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges

X Wang, Y Xu, S Liu, B Ren, J Kosinka… - Computational Visual …, 2024 - Springer
Physics-based fluid simulation has played an increasingly important role in the computer
graphics community. Recent methods in this area have greatly improved the generation of …

Material point method: Overview and challenges ahead

WT Sołowski, M Berzins, WM Coombs… - Advances in Applied …, 2021 - Elsevier
The paper gives an overview of Material Point Method and shows its evolution over the last
25 years. The Material Point Method developments followed a logical order. The article aims …

GPU optimization of material point methods

M Gao, X Wang, K Wu, A Pradhana, E Sifakis… - ACM Transactions on …, 2018 - dl.acm.org
The Material Point Method (MPM) has been shown to facilitate effective simulations of
physically complex and topologically challenging materials, with a wealth of emerging …

A massively parallel and scalable multi-GPU material point method

X Wang, Y Qiu, SR Slattery, Y Fang, M Li… - ACM Transactions on …, 2020 - dl.acm.org
Harnessing the power of modern multi-GPU architectures, we present a massively parallel
simulation system based on the Material Point Method (MPM) for simulating physical …

Revisiting integration in the material point method: a scheme for easier separation and less dissipation

Y Fei, Q Guo, R Wu, L Huang, M Gao - ACM Transactions on Graphics …, 2021 - dl.acm.org
The material point method (MPM) recently demonstrated its efficacy at simulating many
materials and the coupling between them on a massive scale. However, in scenarios …

IQ-MPM: an interface quadrature material point method for non-sticky strongly two-way coupled nonlinear solids and fluids

Y Fang, Z Qu, M Li, X Zhang, Y Zhu… - ACM Transactions on …, 2020 - dl.acm.org
We propose a novel scheme for simulating two-way coupled interactions between nonlinear
elastic solids and incompressible fluids. The key ingredient of this approach is a ghost matrix …

A hybrid material point method for frictional contact with diverse materials

X Han, TF Gast, Q Guo, S Wang, C Jiang… - Proceedings of the ACM …, 2019 - dl.acm.org
We present a new hybrid Lagrangian Material Point Method for simulating elastic objects
like hair, rubber, and soft tissues that utilizes a Lagrangian mesh for internal force …

An implicit compressible SPH solver for snow simulation

C Gissler, A Henne, S Band, A Peer… - ACM Transactions on …, 2020 - dl.acm.org
Snow is a complex material. It resists elastic normal and shear deformations, while some
deformations are plastic. Snow can deform and break. It can be significantly compressed …