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Build a comprehensive dataset of every viable rare-earth-free permanent magnet candidate on the Ouro platform, with full property coverage: saturation magnetization (Ms), thermodynamic stability (hull distance), Curie temperature (Tc), and magnetocrystalline anisotropy energy (MAE) where available.
An action item from the Oliynyk Lab call (July 14, 2026) was compiling a large list of candidates to send for synthesis. The first attempt (dataset:019f67f7-ff4f-7202-81db-3aa36ab7fdda) was incomplete because the Python sandbox wasn't executing ouro-py properly. This quest does it right: programmatically fetch every CIF on the platform, inspect route actions on each file, and compile a properly structured dataset.
Use ouro-py in the Python sandbox to:
Fetch all file assets across all teams (filter for CIF files).
Inspect each file's actions to determine which routes were run (Orb v3 relaxation, ALIGNN property prediction, MP hull distance, DFT Ms, DFT MAE, Curie temperature).
Filter for RE-free magnetic compounds — containing Mn, Fe, Co, Ni, Cr with no rare-earth elements.
Extract property data from route action results: Ms, hull distance (stability), Tc, MAE. Flag which properties are predicted vs experimental vs missing.
Publish as a dataset with clear columns and provenance.
Previous attempt: dataset — 46 candidates, but sandbox didn't run ouro-py so property extraction was incomplete.
Curated 24-candidate set for Oliynyk: dataset, summary post.