Table 1 Predicted bulk moduli, sintering temperatures, formation energies, space groups, closest matching Materials Project ID (MP-ID) and composition, and percent confidence match for a subset of the near Pareto-optimal compositions
From: Deep reinforcement learning for inverse inorganic materials design
Composition | Bulk Mod. (log GPa) | Sint. Temp. (°C) | Form. E. (eV/atom) | MP-ID | MP composition | Space group | Confidence (%) |
|---|---|---|---|---|---|---|---|
LiCr2FeO6 | 5.00 | 751.8 | −1.89 | mp-1221952 | MgTi2NiO6 | R3 | 97.7 |
NaLiMoO4 | 4.45 | 751.7 | −2.35 | mp-1220764 | NaHfScO4 | Pmc21 | 98.9 |
Ge2OsO5 | 5.14 | 888.1 | −1.80 | mp-22373 | CrPb2O5 | C2/m | 87.7 |
MnPt3O4 | 5.23 | 868.5 | −0.87 | mp-1208033 | TlPt3O4 | Fm¯3 m | 88.5 |
