Datasets › MPM-Verse

MPM-Verse (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, elasticity, jelly, rigid collisions, and melting. Each material is represented as point-clouds that evolve over time. The dataset is designed for learning and predicting MPM-based physical simulations.

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

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MPM-Verse

1 variant name, as the archive lists them.

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