PdSn: enthalpy of formation

4 accepted literature formation-enthalpy value(s) (experimental 2, model 1, unspecified 1); experimental median -60.764 kJ/mol-atom (n = 2); Materials Project -51.312 kJ/mol-atom (mp-aaaaadnd); OQMD -55.827 kJ/mol-atom (oqmd-17950).

Systems: Pd–Sn

Literature values

Enthalpy of formation of PdSn reported in the literature (4)
ValuePhase as printedT (K)ClassMethodSystemSourceLocationQuote
-61.166 kJ/mol-atom ± 0.184PdSn320experimentalPd–Sn[1] Ghosh 1999
cites Bryant 1970
Table V, p. 8, row 12
report
-60.363 kJ/mol-atom ± 0.335PdSn273experimentalPd–Sn[1] Ghosh 1999
cites Guadagno 1968
Table V, p. 8, row 13
report
-69 kJ/mol-atomPdSn298.15modelPd–Sn[1] Ghosh 1999
cites F 1988
Table V, p. 8, row 14
report
-60.997 kJ/mol-atomPdSn298.15unspecifiedPd–Sn[1] Ghosh 1999Table V, p. 8, row 15
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.

Uncertainty budget of the literature values of PdSn
ValueUnitPrintedReadingMethod (class, basis)CompositionScatterConversionEffective
-61.166kJ/mol-atom0.1845.000e-43.5 (unknown, calibrated)3.5
-60.363kJ/mol-atom0.3355.000e-43.5 (unknown, calibrated)3.5
-69kJ/mol-atom0.053.9 (model_calculated, calibrated)3.9
-60.997kJ/mol-atom5.000e-43.5 (unknown, calibrated)3.5

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 PdSn
SourceEntrykJ/mol-atomeV/atomSpace groupE above hull (kJ/mol-atom)E above hull (eV/atom)Theoretical
Materials Projectmp-aaaaadnd-51.312-0.531815Pnma00no
OQMDoqmd-17950-55.827-0.578608Pnma00no

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. G. Ghosh, Thermodynamic modeling of the palladium-lead-tin system, Metall Mater Trans A 30, 5-18 (1999). doi:10.1007/s11661-999-0191-9