volcorr models
Trained ensembles for volcorr: prediction of y = ln(V_exp / V_ref), the volume error of a PBE/PBE+U relaxation with Materials Project settings (tiers A to D) or of a MACE-MPA-0 relaxation (tier E), relative to experiment.
| file prefix | input | model |
|---|---|---|
| A_formula | formula | 5 × LightGBM (L1) |
| B_spacegroup | formula + space group | 5 × LightGBM (L1) |
| C_cif | experimental structure | 5 × LightGBM (L1) |
| D_vdft | formula + space group + PBE(+U) volume | 5 × LightGBM (L1) |
| E_mace | MACE-MPA-0 relaxed structure | 5 × (LightGBM + MLP, median-regression stack) |
registry.json lists features, SHA-256 hashes, stack weights and held-out residual quantiles.
LightGBM files are gzipped text boosters; MLP files are numpy arrays evaluated by
volcorr.model.mlp_predict. Trained on 29,372 matched Materials Project and ICSD entries.
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