Datasets › Mpm-Verse-Large

Mpm-Verse-Large (MPMVerse Physics Simulation Dataset)

Introduced by Hrishikesh Viswanath et al. in Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs4 Jul 2024 archive 2025-07-28

This dataset contains Material-Point-Method (MPM) simulations for various materials, including water, sand, plasticine, jelly, and rigid collisions. Each material is represented as point-clouds that evolve over time. The dataset is designed for learning and predicting MPM-based physical simulations. Each material contains 50 trajectories with different initial velocity field.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Mpm-Verse-Large

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections