Cu5Er: enthalpy of formation
3 accepted literature formation-enthalpy value(s) (experimental 2, DFT 1); experimental median -14.55 kJ/mol-atom (n = 2); Materials Project -18.819 kJ/mol-atom (mp-aaaabtgd); OQMD -18.957 kJ/mol-atom (oqmd-1366368).
Systems: Cu–Er
Literature values
| Value | Phase as printed | T (K) | Class | Method | System | Source | Location | Quote |
|---|---|---|---|---|---|---|---|---|
| -18.4 kJ/mol-atom | Cu5Er | 298.15 | experimental | Cu–Er | [1] Palumbo 2009 cites Meschel 2005 doi | Table 2, p. 4, row 14 report | ||
| -10.7 kJ/mol-atom | Cu5Er | 298.15 | experimental | Cu–Er | [1] Palumbo 2009 cites Sommer 2009 | Table 2, p. 4, row 13 report | ||
| -20.1 kJ/mol-atom | Cu5Er | 0 | DFT | ab initio | Cu–Er | [1] Palumbo 2009 | Table 2, p. 4, row 12 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 |
|---|---|---|---|---|---|---|---|---|
| -18.4 | kJ/mol-atom | 0.05 | 3.5 (unknown, calibrated) | 3.5 | ||||
| -10.7 | kJ/mol-atom | 0.05 | 3.5 (unknown, calibrated) | 3.5 | ||||
| -20.1 | kJ/mol-atom | 0.05 | 8.395 (dft, calibrated) | 8.395 |
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-aaaabtgd | -18.819 | -0.195051 | F-43m | 0 | 0 | no |
| OQMD | oqmd-1366368 | -18.957 | -0.196478 | P6/mmm | 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. Palumbo, L. Battezzati, A. Pasturel, S. Gottlieb-Schönmeyer, W. Assmus, Thermodynamic and ab initio investigation of the Cu–Dy system, Calphad 33, 511-516 (2009). doi:10.1016/j.calphad.2009.04.001