Table 2.
Structural, chemical, and physical properties of constituent elements of oxides for regression models, given as “features” for symbolic regression modeling.
| Properties | Description | Unit |
|---|---|---|
| Molar ratio of oxygen ions to metal ions | — | |
| Atomic mass | ||
| Valence | — | |
| Shannon ionic radius with sixfold coordination to oxygen108,109 | ||
| Shannon ionic radius depending on (see below)108,109 | ||
| Bulk modulus | ||
| Shear modulus | ||
| Density | ||
| Molar density, defined as | ||
| Ionic filling rate (per unit volume), defined as where is the Avogadro’s constant | — | |
| Principal quantum number of valence electrons | — | |
| Azimuthal quantum number of valence electrons | — | |
| Thermal expansion coefficient (linear not volumetric) | ||
| Thermal conductivity | ||
| Difference in electronegativity between metal ions and oxygen | — | |
| Poisson’s ratio | — | |
| Debye temperature | ||
| Coordination number to oxygen ions, which depends on the occupied sites (, , or ) in different crystal classes. For example, in perovskite oxides, for and are given as and , respectively | — | |
| Average over the constituent metal ions | Common to | |
| Standard deviation over the constituent metal ions | Common to | |
| Skewness over the constituent metal ions | — |