introvoyz045/eas-mlip-training-data
Engineered Atomic Structures (EAS) — Training Data for Complex MLIPs The training dataset behind EAS-MLIP: a foundation machine-learned interatomic potential for structures engineered from distinct fundamental units — crystals, surfaces, molecules, electrolytes, monomers, polymers, and their interfaces — rather than one fixed material class. This repo is the data; the model itself (currently training, 4-seed MACE ensemble) will follow as a separate release once it converges.… See the full description on the dataset page: https://huggingface.co/datasets/introvoyz045/eas-mlip-training-data.
| Author / organization | introvoyz045 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 335 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 13 October 2026 |
| Last updated at source | 13 October 2026 |
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