Table 1 Twelve case studies.
From: AlphaMat: a material informatics hub connecting data, features, models and applications
Material property | Task | Data scale | AlphaMat performance | Ref |
|---|---|---|---|---|
Ef (eV/atom) | R1 | 3483 Cal. points | Pc = 0.877, MAE = 0.221, RMSE = 0.341, RMSE/S.D. = 0.482 | |
Eg (eV) | R2 | 3895 Exp points | Pc = 0.933, MAE = 0.347, RMSE = 0.522, RMSE/S.D. = 0.360 | |
BASR (cm−1) | R3 | 1515 Cal. points | Pc = 0.878, MAE = 2.278, RMSE = 4.381, RMSE/S.D. = 0.482 | |
εpoly | R4 | 1028 Cal. points | Pc = 0.675, MAE = 3.265, RMSE = 4.745, RMSE/S.D. = 0.765 | |
K (GPa) | R5 | 373 Cal. points | Pc = 0.895, MAE = 15.853, RMSE = 21.248, RMSE/S.D. = 0.433 | |
Ea (eV) | R6 | 1109 Cal. points | Pc = 0.803, MAE = 0.402, RMSE = 0.604, RMSE/S.D. = 0.596 | |
κ (W m−1 K−1) | R7 | 128 Exp. points | Pc = 0.829, MAE = 0.293, RMSE = 0.465, RMSE/S.D. = 0.578 | |
SHG responses (pm V−1) | R8 | 291 Cal. points | Pc = 0.854, MAE = 0.963, RMSE = 1.524, RMSE/S.D. = 0.550 | |
Metal/Semiconductor | C1 | 6353 Exp. points | Precision = 0.93, recall = 0.93, F1-score = 0.93, AUC = 0.93 | |
Ferro/Non-ferro | C2 | 1028 Cal. points | Precision = 0.87, recall = 0.87, F1-score = 0.87, AUC = 0.87 | |
Strong/Weak ΔE | C3 | 65 Cal. points | Precision = 0.85, recall = 0.85, F1-score = 0.85, AUC = 0.85 | |
FM/AFM | C4 | 220 Cal. points | Precision = 0.82, recall = 0.80, F1-score = 0.80, AUC = 0.80 |