volcorr
Predicts how far a PBE / PBE+U relaxation done the Materials Project way will miss the experimental volume of a crystal. Enter a formula, optionally the space group, or give the structure. Everything runs in your browser; nothing you enter is sent anywhere.
The predicted volume error appears here. Positive means the calculation overestimates the experimental (room-temperature) volume.
What the prediction refers to
The model learned from relaxations in the Materials Project database, so it predicts the error of a calculation done the same way: PBE with PAW potentials, 520 eV cutoff, spin polarization, and a force-based ionic relaxation. Oxides and fluorides of Co, Cr, Fe, Mn, Mo, Ni, V and W get PBE+U with the Materials Project U values (Co 3.32, Cr 3.7, Fe 5.3, Mn 3.9, Mo 4.38, Ni 6.2, V 3.25, W 6.2 eV); you can override this choice above. It does not cover other functionals (for example r²SCAN) or other U values.
Only compounds whose PBE(+U) volume lies within 5 % of experiment were used for training, so materials where PBE fails badly (strongly van der Waals bound or some f-electron systems) are outside its range. Experimental volumes are at room temperature, so the prediction includes thermal expansion.
Method and accuracy
Gradient-boosted trees (LightGBM, absolute-error loss) predict y = ln(Vexp/VDFT) from composition, shell-filling and symmetry descriptors and the calculation settings. They were trained on 29,372 Materials Project entries matched to ICSD structures; five models are averaged.
| Input | mean absolute error on held-out compounds |
|---|---|
| no correction (plain PBE(+U)) | 2.46 % |
| formula | 1.33 % |
| formula + space group | 1.33 % |
| experimental structure | 1.24 % |
| + your PBE(+U) volume | 1.32 % |
The full correction in the accompanying paper reaches 1.09 % for these calculations, but it also uses outputs of the finished DFT calculation (relaxed geometry, band gap, magnetization), which are not asked for here. A MACE-MPA-0 route needs PyTorch and is available in the command-line tool. Models: utksi/volcorr-models.