Table 1 Performance of four versions of the CACE-LR potentials on each test set
From: Machine learning interatomic potential can infer electrical response
Version | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| Â | E+F | E+F | E+F | E+F+BEC |
Nconfig | 654 | 654 | 100 | 100 |
rcut(Ă…) | 5.5 | 4.5 | 4.5 | 4.5 |
E | 0.22 | 0.25 | 0.26 | 0.19 |
F | 18.88 | 21.01 | 23.84 | 25.34 |
\({Z}_{\alpha \alpha }^{* }\) | 0.11 | 0.06 | 0.05 | 0.04 |
\({Z}_{\alpha \beta }^{* }\) | 0.04 | 0.04 | 0.05 | 0.03 |
\({Z}_{\alpha \alpha }^{* }\,{R}^{2}\) | 0.97 | 0.99 | 0.99 | 1.00 |
\({Z}_{\alpha \beta }^{* }\,{R}^{2}\) | 0.90 | 0.90 | 0.89 | 0.94 |