Li2Te: enthalpy of formation

5 accepted literature formation-enthalpy value(s) (model 1, DFT 4); Materials Project -113.668 kJ/mol-atom (mp-aaaaadti); OQMD -100.679 kJ/mol-atom (oqmd-11316).

Systems: Li–Te

Literature values

Enthalpy of formation of Li2Te reported in the literature (5)
ValuePhase as printedT (K)ClassMethodSystemSourceLocationQuote
-118.949 kJ/mol-atomLi2Te298.15modelCALPHADLi–Te[1] Yu 2022Table 2, p. 5, row 18
report
-115.667 kJ/mol-atomLi2Te0DFTFirst-principlesLi–Te[1] Yu 2022
cites Morachevskii 2022
Table 2, p. 5, row 15
report
-113.61 kJ/mol-atomLi2Te0DFTFirst-principlesLi–Te[1] Yu 2022
cites Jain 2013 doi
Table 2, p. 5, row 17
report
-100.59 kJ/mol-atomLi2Te0DFTFirst-principlesLi–Te[1] Yu 2022
cites Saal 2013 doi
Table 2, p. 5, row 16
report
-100.012 kJ/mol-atomLi2Te0DFTFirst-principlesLi–Te[1] Yu 2022Table 2, p. 5, row 14
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 Li2Te
ValueUnitPrintedReadingMethod (class, basis)CompositionScatterConversionEffective
-118.949kJ/mol-atom5.000e-43.9 (model_calculated, calibrated)3.9
-115.667kJ/mol-atom5.000e-49.966 (dft, calibrated)9.966
-113.61kJ/mol-atom0.0059.966 (dft, calibrated)9.966
-100.59kJ/mol-atom0.0059.966 (dft, calibrated)9.966
-100.012kJ/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 Li2Te
SourceEntrykJ/mol-atomeV/atomSpace groupE above hull (kJ/mol-atom)E above hull (eV/atom)Theoretical
Materials Projectmp-aaaaadti-113.668-1.17809Fm-3m00no
OQMDoqmd-11316-100.679-1.04347Fm-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