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. 2018 Dec 4;8:17593. doi: 10.1038/s41598-018-35934-y

Table 2.

Subset of Potential Stable Compounds Predicted using ElemNet. Out of the 450 M predictions, we determined the number of systems where ElemNet identifies at least one new potential stable compound.

Category Binary Ternary Quaternary
Count Examples Count Examples Count Examples
[Li,K,Na]-Containing 4 KF6 NaF8 707 NaY 2 F 7 KY 2 F 7 18446 CsNa2CdF4 Na2CrPbF5
Chalco-/oxyhalides 5 OF9 SeF9 522 Y2OF6 Sc2OF7 17184 Sr3Cu2IO4 Zr6RhIO2
Metal Oxides 1 Cu 2 O 81 KTi4O5 ReAu2O5 501 YAlV2O6 Y4FeBi2O3
3d Metal Oxides 1 Cu 2 O 3 Zn2(CuO)3 Ti5CuO2 1 TiZnCrO5
Intermetallics 11 Nb5Sn3 Al 5Ir3 123 HfAl5Ir3 YAl4Ir3 425 Sc5NiSn3Mo ZrAl5OsRh
Intermetallics HHIp < 2500 0 0 1 NaMn2AlAu6

We list the number of binary, ternary, and quaternary systems for several categories of compounds along with the two most stable predictions. We validated some of the these compounds- NaY2F7 and KY2F7 using DFT computations by leveraging crystal structures of existing materials with similar stoi-chemistry; we found them to be stable using DFT, further literature search revealed that they have already been synthesized recently. Our model predicts Cu2O as the only new binary oxide which is a known compound but was not in our training set.