AgSm: enthalpy of formation

5 accepted literature formation-enthalpy value(s) (experimental 1, model 2, DFT 1, unspecified 1); experimental median -37 kJ/mol-atom (n = 1); Materials Project -26.737 kJ/mol-atom (mp-aaaaadrf); OQMD -28.228 kJ/mol-atom (oqmd-10667).

Systems: Ag–Sm

Literature values

Enthalpy of formation of AgSm reported in the literature (5)
ValuePhase as printedT (K)ClassMethodSystemSourceLocationQuote
-37 kJ/mol-atom ± 2.7AgSm298.15experimentalHTDSCAg–Sm[1] Zhou 2020
cites Meschel 2006 doi
Table 7, p. 10, row 2
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-42 kJ/mol-atomAgSm298.15modelEvaluationAg–Sm[1] Zhou 2020
cites Niessen 1983 doi
Table 7, p. 10, row 1
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-27.8 kJ/mol-atomAgSm298.15modelCALPHADAg–Sm[1] Zhou 2020Table 7, p. 10, row 5
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-28.2 kJ/mol-atomAgSm0.15DFTFirst-principles calculationsAg–Sm[1] Zhou 2020
cites The
Table 7, p. 10, row 4
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-23 kJ/mol-atomAgSm298.15unspecifiedIASAg–Sm[1] Zhou 2020
cites Sudavtsova 2014 doi
Table 7, p. 10, row 3
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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.

Uncertainty budget of the literature values of AgSm
ValueUnitPrintedReadingMethod (class, basis)CompositionScatterConversionEffective
-37kJ/mol-atom2.70.052 (dsc_dta, prior)2.7
-42kJ/mol-atom0.053.9 (model_calculated, calibrated)3.9
-27.8kJ/mol-atom0.053.9 (model_calculated, calibrated)3.9
-28.2kJ/mol-atom0.058.395 (dft, calibrated)8.395
-23kJ/mol-atom0.054.1 (experimental_unspecified, cleaned_below_threshold)4.1

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.

DFT formation energy of AgSm
SourceEntrykJ/mol-atomeV/atomSpace groupE above hull (kJ/mol-atom)E above hull (eV/atom)Theoretical
Materials Projectmp-aaaaadrf-26.737-0.27711Pm-3m00no
OQMDoqmd-10667-28.228-0.292564Pm-3m00no

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

  1. Jiaqiang Zhou, Biao Hu, Yu Jiang, Chengliang Qiu, Yong Du, Huiqin Yin, Thermodynamic Modeling of the Ag-X (X = B, Fe, Sm, Pu) Binary Systems, J. Phase Equilib. Diffus. 41, 257-268 (2020). doi:10.1007/s11669-020-00813-5