This dataset contains Material-Point-Method (MPM) simulations for various materials, including water, sand, plasticine, and jelly.
Each material is represented as point-clouds that evolve over time. The dataset is designed for learning and predicting MPM-based
physical simulations. The dataset is rendered using five geometric models - Stanford-bunny, Spot, Dragon, Armadillo, and Blub.
Each setting has 10 trajectories per… See the full description on the dataset page: https://huggingface.co/datasets/hrishivish23/MPM-Verse-MaterialSim-Large.
