Ru25Sm44: enthalpy of formation
5 accepted literature formation-enthalpy value(s) (model 5).
Systems: Ru–Sm
Literature values
| Value | Phase as printed | T (K) | Class | Method | System | Source | Location | Quote |
|---|---|---|---|---|---|---|---|---|
| -45.3075 kJ/mol-atom | Sm44Ru25 | model | Optimization LM | Ru–Sm | [1] Kardellass 2023 | Table 3, p. 9, row 85 report | ||
| -38.4054 kJ/mol-atom | Sm44Ru25 | model | Miedema’s model | Ru–Sm | [1] Kardellass 2023 cites De 2014 | Table 3, p. 9, row 88 report | ||
| -30.9578 kJ/mol-atom | Sm44Ru25 | model | Modified Miedema’s model | Ru–Sm | [1] Kardellass 2023 cites Zhang 2007 doi | Table 3, p. 9, row 89 report | ||
| -26.291 kJ/mol-atom | Sm44Ru25 | model | Optimization EM | Ru–Sm | [1] Kardellass 2023 | Table 3, p. 9, row 86 report | ||
| -25.8035 kJ/mol-atom | Sm44Ru25 | model | Optimization CM | Ru–Sm | [1] Kardellass 2023 | Table 3, p. 9, row 87 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 |
|---|---|---|---|---|---|---|---|---|
| -45.3075 | kJ/mol-atom | 5.000e-6 | 3.9 (model_calculated, calibrated) | 3.9 | ||||
| -38.4054 | kJ/mol-atom | 5.000e-6 | 3.9 (model_calculated, calibrated) | 3.9 | ||||
| -30.9578 | kJ/mol-atom | 5.000e-6 | 3.9 (model_calculated, calibrated) | 3.9 | ||||
| -26.291 | kJ/mol-atom | 5.000e-6 | 3.9 (model_calculated, calibrated) | 3.9 | ||||
| -25.8035 | kJ/mol-atom | 5.000e-5 | 3.9 (model_calculated, calibrated) | 3.9 |
Sources
- S. Kardellass, C. Corvalan-Moya, V. P. Vassiliev, Thermodynamic Modeling of the (Ce and Sm)-Ru Binary Systems Based on Linear, Exponential, and Combined Models Aided by Ab-Initio Calculations, J. Phase Equilib. Diffus. 44, 300-323 (2023). doi:10.1007/s11669-023-01043-1