AgCa3: enthalpy of formation
3 accepted literature formation-enthalpy value(s) (experimental 3); experimental median -11.6 kJ/mol-atom (n = 3); Materials Project -5.282 kJ/mol-atom (mp-aaacpirk); OQMD -20.024 kJ/mol-atom (oqmd-1787095).
Systems: Ag–Ca
Literature values
| Value | Phase as printed | T (K) | Class | Method | System | Source | Location | Quote |
|---|---|---|---|---|---|---|---|---|
| -12.5 kJ/mol-atom | AgCa3 | 298.15 | experimental | Ag–Ca | [1] Braga 2014 | Table 1, p. 2, row 8 report | ||
| -11.6 kJ/mol-atom | AgCa3 | 298.15 | experimental | Ag–Ca | [1] Braga 2014 | Table 1, p. 2, row 10 report | ||
| -11.3 kJ/mol-atom | AgCa3 | 298.15 | experimental | Ag–Ca | [1] Braga 2014 | Table 1, p. 2, row 9 report |
Uncertainty budget
Components kept separate, in the value's unit (literature SCHEMA.md, UNCERTAINTY_CALIBRATION.md): effective = max(sqrt(max(printed, reading, method)^2 + composition^2 + conversion^2), scatter). The method floor is the robust between-study scatter of the method class in ORCHID (calibrated) or a documented prior; printed values and printed uncertainties are unchanged.
| Value | Unit | Printed | Reading | Method (class, basis) | Composition | Scatter | Conversion | Effective |
|---|---|---|---|---|---|---|---|---|
| -12.5 | kJ/mol-atom | 0.05 | 3.5 (unknown, calibrated) | 3.5 | ||||
| -11.6 | kJ/mol-atom | 0.05 | 3.5 (unknown, calibrated) | 3.5 | ||||
| -11.3 | kJ/mol-atom | 0.05 | 3.5 (unknown, calibrated) | 3.5 |
DFT formation energies
Lowest-energy entries at this composition. Materials Project and OQMD use different energy references and are never averaged. 1 eV/atom = 96.485 kJ/mol-atom.
| Source | Entry | kJ/mol-atom | eV/atom | Space group | E above hull (kJ/mol-atom) | E above hull (eV/atom) | Theoretical |
|---|---|---|---|---|---|---|---|
| Materials Project | mp-aaacpirk | -5.282 | -0.05474 | Pm-3m | 10.9858 | 0.1139 | yes |
| OQMD | oqmd-1787095 | -20.024 | -0.207534 | Pnma | 0 | 0 | yes |
DFT sources: A. Jain et al., Commentary: The Materials Project: A materials genome approach to accelerating materials innovation, APL Materials 1 (2013) 011002. doi:10.1063/1.4812323 (CC BY 4.0); J. E. Saal et al., JOM 65 (2013) 1501-1509; S. Kirklin et al., npj Comput. Mater. 1 (2015) 15010. doi:10.1007/s11837-013-0755-4 (CC BY 4.0);
Sources
- M. Helena Braga, Adam Dębski, Władysław Gąsior, Optimization and assessment of the Ag–Ca phase diagram, Journal of Alloys and Compounds 612, 280-286 (2014). doi:10.1016/j.jallcom.2014.05.141