GaTe: enthalpy of formation

5 accepted literature formation-enthalpy value(s) (experimental 2, model 1, DFT 2); experimental median -39.2 kJ/mol-atom (n = 2); Materials Project -55.488 kJ/mol-atom (mp-aaaaaouz); OQMD -35.037 kJ/mol-atom (oqmd-19721).

Systems: Ga–Te

Literature values

Enthalpy of formation of GaTe reported in the literature (5)
ValuePhase as printedT (K)ClassMethodSystemSourceLocationQuote
-39.4 kJ/mol-atomGaTe298.15experimentalCalorimetryGa–Te[1] Yu 2022
cites Said 1979 doi
Table 2, p. 5, row 5
report
-39 kJ/mol-atomGaTe298.15experimentalCalorimetryGa–Te[1] Yu 2022
cites Said 1979 doi
Table 2, p. 5, row 4
report
-39.268 kJ/mol-atomGaTe298.15modelCALPHADGa–Te[1] Yu 2022Table 2, p. 5, row 3
report
-35 kJ/mol-atomGaTe0DFTFirst-principlesGa–Te[1] Yu 2022
cites Saal 2013 doi
Table 2, p. 5, row 2
report
-30.788 kJ/mol-atomGaTe0DFTFirst-principlesGa–Te[1] Yu 2022Table 2, p. 5, row 1
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 GaTe
ValueUnitPrintedReadingMethod (class, basis)CompositionScatterConversionEffective
-39.4kJ/mol-atom0.053.2 (solution_reaction_calorimetry, calibrated)3.2
-39kJ/mol-atom0.53.2 (solution_reaction_calorimetry, calibrated)3.2
-39.268kJ/mol-atom5.000e-43.9 (model_calculated, calibrated)3.9
-35kJ/mol-atom0.59.966 (dft, calibrated)9.966
-30.788kJ/mol-atom5.000e-49.966 (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 GaTe
SourceEntrykJ/mol-atomeV/atomSpace groupE above hull (kJ/mol-atom)E above hull (eV/atom)Theoretical
Materials Projectmp-aaaaaouz-55.488-0.57509P6_3/mmc00no
OQMDoqmd-19721-35.037-0.363139C2/m00no

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