Fe2Mo: enthalpy of formation
3 accepted literature formation-enthalpy value(s) (model 1, DFT 2); Materials Project -0.183 kJ/mol-atom (mp-aaackivq); OQMD -0.609 kJ/mol-atom (oqmd-27164).
Systems: Fe–Mo
Literature values
| Value | Phase as printed | T (K) | Class | Method | System | Source | Location | Quote |
|---|---|---|---|---|---|---|---|---|
| -0.715 kJ/mol-atom | Fe2Mo (λ) | 298.15 | model | Calphad | Fe–Mo | [1] Rajkumar 2014 | Table 8, p. 6, row 3 report | |
| -1.534 kJ/mol-atom | Fe2Mo (λ) | 298.15 | DFT | ab initio | Fe–Mo | [1] Rajkumar 2014 cites Mihlakovic | Table 8, p. 6, row 1 report | |
| -0.714 kJ/mol-atom | Fe2Mo (λ) | 298.15 | DFT | ab initio | Fe–Mo | [1] Rajkumar 2014 | Table 8, p. 6, row 2 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 |
|---|---|---|---|---|---|---|---|---|
| -0.715 | kJ/mol-atom | 5.000e-4 | 3.9 (model_calculated, calibrated) | 3.9 | ||||
| -1.534 | kJ/mol-atom | 5.000e-4 | 3.929 (dft, calibrated) | 3.929 | ||||
| -0.714 | kJ/mol-atom | 5.000e-4 | 3.929 (dft, calibrated) | 3.929 |
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-aaackivq | -0.183 | -0.001901 | P6_3/mmc | 0.1587 | 0.0016 | no |
| OQMD | oqmd-27164 | -0.609 | -0.006307 | P63/mmc | 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
- V.B. Rajkumar, K.C. Hari Kumar, Thermodynamic modeling of the Fe–Mo system coupled with experiments and ab initio calculations, Journal of Alloys and Compounds 611, 303-312 (2014). doi:10.1016/j.jallcom.2014.05.030