Cd2Gd: enthalpy of formation
3 accepted literature formation-enthalpy value(s) (model 3); Materials Project -31.052 kJ/mol-atom (mp-aaaabfaj); OQMD -32.441 kJ/mol-atom (oqmd-11026).
Systems: Cd–Gd
Literature values
| Value | Phase as printed | T (K) | Class | Method | System | Source | Location | Quote |
|---|---|---|---|---|---|---|---|---|
| -43.89 kJ/mol-atom | α-Cd2Gd | 298.15 | model | Optimization | Cd–Gd | [1] Azza 2024 | Table 4, p. 7, row 5 report | |
| -43.88 kJ/mol-atom | β-Cd2Gd | 298.15 | model | Optimization | Cd–Gd | [1] Azza 2024 | Table 4, p. 7, row 3 report | |
| -42.96 kJ/mol-atom | α-Cd2Gd | 298.15 | model | Optimization | Cd–Gd | [1] Azza 2024 cites Kurata 2001 doi | Table 4, p. 7, row 4 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 |
|---|---|---|---|---|---|---|---|---|
| -43.89 | kJ/mol-atom | 0.005 | 3.9 (model_calculated, calibrated) | 3.9 | ||||
| -43.88 | kJ/mol-atom | 0.005 | 3.9 (model_calculated, calibrated) | 3.9 | ||||
| -42.96 | 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-aaaabfaj | -31.052 | -0.321837 | P6/mmm | 0 | 0 | no |
| OQMD | oqmd-11026 | -32.441 | -0.336225 | P-3m1 | 0 | 0 | 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
- Hassan Azza, Mustapha Ait Boukideur, Khadija Achgar, Mohamed Idbenali, Najim Selhaoui, Thermodynamic Description of the Gadolinium-Cadmium Phase Diagram, J. Phase Equilib. Diffus. 45, 714-722 (2024). doi:10.1007/s11669-024-01127-6