SrTe: enthalpy of formation

5 accepted literature formation-enthalpy value(s) (model 1, DFT 4); Materials Project -188.541 kJ/mol-atom (mp-aaaaacxi); OQMD -168.527 kJ/mol-atom (oqmd-656717).

Systems: Sr–Te

Literature values

Enthalpy of formation of SrTe reported in the literature (5)
ValuePhase as printedT (K)ClassMethodSystemSourceLocationQuote
-168 kJ/mol-atomSrTe298.15modelCALPHADSr–Te[1] Yu 2022Table 2, p. 5, row 23
report
-187.88 kJ/mol-atomSrTe0DFTFirst-principlesSr–Te[1] Yu 2022
cites Jain 2013 doi
Table 2, p. 5, row 22
report
-174 kJ/mol-atomSrTe0DFTFirst-principlesSr–Te[1] Yu 2022
cites Labidi 2008
Table 2, p. 5, row 20
report
-167.98 kJ/mol-atomSrTe0DFTFirst-principlesSr–Te[1] Yu 2022Table 2, p. 5, row 19
report
-167.97 kJ/mol-atomSrTe0DFTFirst-principlesSr–Te[1] Yu 2022
cites Saal 2013 doi
Table 2, p. 5, row 21
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 SrTe
ValueUnitPrintedReadingMethod (class, basis)CompositionScatterConversionEffective
-168kJ/mol-atom0.53.9 (model_calculated, calibrated)3.9
-187.88kJ/mol-atom0.0059.966 (dft, calibrated)9.966
-174kJ/mol-atom0.59.966 (dft, calibrated)9.966
-167.98kJ/mol-atom0.0059.966 (dft, calibrated)9.966
-167.97kJ/mol-atom0.0059.966 (dft, calibrated)9.966

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 SrTe
SourceEntrykJ/mol-atomeV/atomSpace groupE above hull (kJ/mol-atom)E above hull (eV/atom)Theoretical
Materials Projectmp-aaaaacxi-188.541-1.9541Fm-3m00no
OQMDoqmd-656717-168.527-1.74667Fm-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. Shangzhao Yu, Jiong Wang, Dongyu Cui, Shanxiong Chen, Qing Wu, Yong Du, Thermodynamic Modelling of the Te-X (X = Cu, Ga, Li, Sr) Systems, J. Phase Equilib. Diffus. 43, 193-213 (2022). doi:10.1007/s11669-022-00950-z