Overview

The Material Point Method represents a material with moving points that carry mass and physical state, while a background grid computes forces and updates motion. Researchers extend it with differentiable solvers for learning and control, GPU acceleration, and specialized models for contact, fracture, cutting, and mixtures of materials. Applications include granular and soft-body manipulation, tactile sensing, surgical simulation, and physically based animation, sometimes combining MPM with methods such as position-based dynamics or neural decoders. A central challenge is balancing realistic, robust behavior—especially during contact and failure—with computational speed and reliable gradients for optimization.

Latest papers

CardsList

10 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. STC-MPM: Coupled Deformation, Progressive Damage, and Cut Formation in Soft-Tissue Cutting

    Oct 5, 2026Kewei Zuo, Jiahe Chen, Ziao Kuang +2Material Point MethodMaterials Science

  2. On the Numerical Reliability of Differentiable Physics-Based Optimization for Robotic Material Manipulation

    Sep 28, 2026Xintong Yang, Minglun Wei, Yu-Kun Lai +1Robot Dynamics IdentificationMaterial Point Method

  3. BladeMaster: Real-Time Robotic Cutting Simulation with Online-Generated Persistent Discontinuities

    Sep 23, 2026Zhanyu Yang, Yunuo Chen, Yanjia Huang +3Robotics SimulationDeformable Object Manipulation

  4. PhysMAS: Physics-Grounded Multi-Agent Synthesis of Compositional 4D Gaussians

    Sep 7, 2026Jiang Qin, Chunji Lv, Yangguang Wei +63D Gaussian SplattingMaterial Point Method

  5. FractureFields: Contact-Aware Binary Multi-Field Transfer for Fractured 3D Gaussian Simulation

    Aug 29, 2026Jianchen Wang, Runyang Qu, Fei LiDeformable Object SimulationMaterial Point Method

  6. Simulation of Surgical Suturing Using Position-Based Dynamics and the Material Point Method for Robot Reinforcement Learning

    Jul 29, 2026Tleukhan Mussin, Yafei Ou, Mahdi TavakoliRL for RoboticsRobotics Simulation

  7. PIAvatar: Physically Interactive Avatars via Deformation Gradient Decoupling

    Jun 19, 2026Sang-Hun Han, Min-Gyu Park, Jisu Shin +3Material Point MethodHuman Avatar Animation

  8. Reduced-order Neural Modeling with Differentiable Simulation for High-Detail Tactile Perception

    May 6, 2026Yuhu Guo, Zhikai Shen, Jiasheng Qu +4Neural Surrogate ModelingMaterial Point Method

  9. DOT-Sim: Differentiable Optical Tactile Simulation with Precise Real-to-Sim Physical Calibration

    Apr 30, 2026Yang You, Won Kyung Do, Aiden Swann +3Tactile SensingRobotics Simulation