Er5Ge4: enthalpy of formation
3 accepted literature formation-enthalpy value(s) (experimental 1, model 2); experimental median -94.8 kJ/mol-atom (n = 1); Materials Project -81.76 kJ/mol-atom (mp-aaacqbaq); OQMD -82.178 kJ/mol-atom (oqmd-665639).
Systems: Er–Ge
Literature values
| Value | Phase as printed | T (K) | Class | Method | System | Source | Location | Quote |
|---|---|---|---|---|---|---|---|---|
| -94.8 kJ/mol-atom ± 2.2 | Er5Ge4 | 950 | experimental | EMF | Er–Ge | [1] Achgar 2017 cites Sidorko 2008 | Table 5, p. 7, row 7 report | |
| -92.97 kJ/mol-atom | Er5Ge4 | 950 | model | Optimization | Er–Ge | [1] Achgar 2017 | Table 5, p. 7, row 9 report | |
| -92.81 kJ/mol-atom | Er5Ge4 | 950 | model | Optimization | Er–Ge | [1] Achgar 2017 | Table 5, p. 7, row 8 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 |
|---|---|---|---|---|---|---|---|---|
| -94.8 | kJ/mol-atom | 2.2 | 0.05 | 4.6 (emf, cleaned_below_threshold) | 4.6 | |||
| -92.97 | kJ/mol-atom | 0.005 | 3.9 (model_calculated, calibrated) | 3.9 | ||||
| -92.81 | kJ/mol-atom | 0.005 | 3.9 (model_calculated, calibrated) | 3.9 |
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-aaacqbaq | -81.76 | -0.847381 | Pnma | 0 | 0 | no |
| OQMD | oqmd-665639 | -82.178 | -0.851715 | Pnma | 0.1373 | 0.0014 | no |
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
- Khadija Achgar, Saïd Kardellass, Najim Selhaoui, Lahcen Bouirden, Thermodynamic optimization of the Erbium-Germanium binary system, Journal of Alloys and Compounds 724, 1157-1166 (2017). doi:10.1016/j.jallcom.2017.07.129