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 …

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 …

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 …

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 …

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 …

Simulating the physical behaviors of deformable objects and fluids has been an important
topic in computer graphics. While the Lagrangian Finite Element Method (FEM) is widely …

The typical elastic surface or curve simulation method takes a Lagrangian approach and
consists of three components: time integration, collision detection and collision response …

We present a multi-species model for the simulation of gravity driven landslides and debris
flows with porous sand and water interactions. We use continuum mixture theory to describe …

Recently the Affine Particle-In-Cell (APIC) Method was proposed by Jiang et al.[2015;
2017b] to improve the accuracy of the transfers in Particle-In-Cell (PIC)[Harlow 1964] …

The Material Point Method (MPM) has been shown to facilitate effective simulations of
physically complex and topologically challenging materials, with a wealth of emerging …