SciLM/MaterialsSaddles
MaterialsSaddles A high-throughput library of converged transition states for solid-state and surface chemistry. Hub URL: https://huggingface.co/datasets/SciLM/MaterialsSaddles Released by SciLM.ai: https://www.scilm.ai 32,035,887 fully converged transition states computed by massively-parallel saddle searches on top of public materials and catalysis datasets, using the SaddleMill package and Meta's uma-s-1p2 machine-learning interatomic potential. Each entry in a file is a… See the full description on the dataset page: https://huggingface.co/datasets/SciLM/MaterialsSaddles.
| Author / organization | SciLM |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 2.6K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 29 June 2026 |
| Last updated at source | 18 October 2026 |
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Connected in the knowledge graph
- SciLM/SaddleFlowModel · used to train
Recent changes
- 18 Oct 2026 Description: MaterialsSaddles A high-throughput library of converged transition states for solid-state and surface chemistry. Hub URL: https://huggingface.co/datasets/SciLM/MaterialsSaddles Released by SciLM.ai: https://www.scilm.ai 33,877,255 fully con → MaterialsSaddles A high-throughput library of converged transition states for solid-state and surface chemistry. Hub URL: https://huggingface.co/datasets/SciLM/MaterialsSaddles Released by SciLM.ai: https://www.scilm.ai 32,035,887 fully con
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.