Table 1
Composition of the data set used for training the machine-learned interatomic potentials.
Label | Number of points | Ensemble | Temperatures (K) | Propagation method |
---|---|---|---|---|
31 H2O + H | 240 | NVT | 300/150/50 | GFN2-xTB |
31 H2O + P | 240 | NVT | 300/150/50 | GFN2-xTB |
31 H2O + PH | 240 | NVT | 300/150/50 | GFN2-xTB |
46 H2O + H | 600 | NVT | 300/150/50 | GFN2-xTB |
46 H2O + P | 600 | NVT | 300/150/50 | GFN2-xTB |
46 H2O + PH | 600 | NVT | 300/150/50 | GFN2-xTB |
74 H2O | 800 | NVT | 100/500(1) | GFN-FF |
12 H2O + H Collision | 500 | NVE | 100 (EH=1.5 eV) | GFN2-xTB |
12 H2O + P Collision | 500 | NVE | 100 (EP=0.025 eV) | GFN2-xTB |
Long-range P(2) | 400 | N/A | N/A | N/A |
20 H2O + P + H Reaction(3) | 6927 | NVE | 30 | HF-3c |
Total | 11 647 (11 249)(4) |
Notes. We note that the propagation method is only used for sampling geometries. For these structures, energies and forces are later calculated at the PBE-D3BJ/def2-TZVP level of theory. (1)A spherical wall potential is applied to ensure the structural integrity of the cluster. (2)Interaction of P with the cluster at the distance of the cut-off radius (5.5 Å, required for binding energies). (3)The reaction part comprises reactions in weak, medium, and high binding sites at different P-H internuclear distances (3.0–4.5 Å). (4)398 structures have been removed from the training set (some distances between neighbouring atoms are larger than the selected cut-off radius).
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