# ROEB-Crash OpenRadioss Tier 1 Starter Kit

Compact sample for the Neon crash / fea-deform benchmark on aiphysics.org.
This is **not** the full training matrix or the full OpenRadioss Neon decks.

## Credit & where the model comes from

This benchmark is built on the open **OpenRadioss 1M Element Neon** HPC model —
Radioss Block Format decks published by the OpenRadioss project (models developed
by Altair, derived from LS-DYNA models originally developed by the NCAC).

**Full Neon solver decks are distributed by OpenRadioss**, not as a complete
training dump from this site:

- https://openradioss.atlassian.net/wiki/spaces/OPENRADIOSS/pages/47546369/HPC+Benchmark+Models#1M-Element-Neon-model

On aiphysics.org we evaluate AI surrogates on a thickness design-of-experiments
frontal impact (fea-deform) built on that vehicle via Rescale AI Physics.

## Contents

- `openradioss-doe.json`: DOE ranges and thickness variables.
- `cases.csv`: sample case index and metadata linkage.
- `sample-case/case_data.vtp`: decimated surface mesh with displacement time-series (`displacement_t*`).
- `sample-case/case_data.yml`, `case_meta.yml`, `case_report.yml`: sample case metadata.

## Evaluation metric (public card)

Public benchmark cards report **mean holdout nodal R²** over validation and test cases.
Within each case, displacement uses median field R² across timesteps.

## Learn more

- Upstream Neon model: https://openradioss.atlassian.net/wiki/spaces/OPENRADIOSS/pages/47546369/HPC+Benchmark+Models#1M-Element-Neon-model
- Rescale tutorial: https://support.rescale.com/en/articles/15892552-rescale-ai-physics-tutorial-crash-fea-openradioss
- Dataset type: `fea-deform`
- Expected files: `case_data.vtp`, `case_data.stl`
