A state-of-the-art review of experimental and computational studies of granular materials: properties, advances, challenges, and future directions

P Tahmasebi - Progress in Materials Science, 2023 - Elsevier
Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide class of phenomena and systems, ranging from condensed matter physics, soft …

Material point method after 25 years: theory, implementation, and applications

A De Vaucorbeil, VP Nguyen, S Sinaie… - Advances in applied …, 2020 - Elsevier
It has been 25 years since Sulsky and her coworkers developed the first version of the
material point method (MPM): a quasi particle method to solve continuum mechanics …

Physgaussian: Physics-integrated 3d gaussians for generative dynamics

T Xie, Z Zong, Y Qiu, X Li, Y Feng… - Proceedings of the …, 2024 - openaccess.thecvf.com
We introduce PhysGaussian a new method that seamlessly integrates physically grounded
Newtonian dynamics within 3D Gaussians to achieve high-quality novel motion synthesis …

Physdreamer: Physics-based interaction with 3d objects via video generation

T Zhang, HX Yu, R Wu, BY Feng, C Zheng… - … on Computer Vision, 2025 - Springer
Realistic object interactions are crucial for creating immersive virtual experiences, yet
synthesizing realistic 3D object dynamics in response to novel interactions remains a …

Taichi: a language for high-performance computation on spatially sparse data structures

Y Hu, TM Li, L Anderson, J Ragan-Kelley… - ACM Transactions on …, 2019 - dl.acm.org
3D visual computing data are often spatially sparse. To exploit such sparsity, people have
developed hierarchical sparse data structures, such as multi-level sparse voxel grids …

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 …

A moving least squares material point method with displacement discontinuity and two-way rigid body coupling

Y Hu, Y Fang, Z Ge, Z Qu, Y Zhu, A Pradhana… - ACM Transactions on …, 2018 - dl.acm.org
In this paper, we introduce the Moving Least Squares Material Point Method (MLS-MPM).
MLS-MPM naturally leads to the formulation of Affine Particle-In-Cell (APIC)[Jiang et al …

The affine particle-in-cell method

C Jiang, C Schroeder, A Selle, J Teran… - ACM Transactions on …, 2015 - dl.acm.org
Hybrid Lagrangian/Eulerian simulation is commonplace in computer graphics for fluids and
other materials undergoing large deformation. In these methods, particles are used to …

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 …

Reconstruction and simulation of elastic objects with spring-mass 3d gaussians

L Zhong, HX Yu, J Wu, Y Li - European Conference on Computer Vision, 2025 - Springer
Reconstructing and simulating elastic objects from visual observations is crucial for
applications in computer vision and robotics. Existing methods, such as 3D Gaussians …