AlCo: enthalpy of formation

5 accepted literature formation-enthalpy value(s) (experimental 2, DFT 3); experimental median -60.1 kJ/mol-atom (n = 2); Materials Project -58.998 kJ/mol-atom (mp-aaaaaaky); OQMD -58.889 kJ/mol-atom (oqmd-10411).

Systems: Al–Co · Al–Co–Cr–Ni

Literature values

Enthalpy of formation of AlCo reported in the literature (5)
ValuePhase as printedT (K)ClassMethodSystemSourceLocationQuote
-60.7 kJ/mol-atom ± 0.5B2298.15experimentalAl–Co–Cr–Ni[1] Liu 2016
cites ref. 82
Table 4, p. 38, row 3
report
-59.5 kJ/mol-atomB2298.15experimentalAl–Co–Cr–Ni[1] Liu 2016
cites ref. 81
Table 4, p. 38, row 2
report
-58.46 kJ/mol-atomBCC_B2, AlCo0DFTDFTAl–Co[2] Wang 2017
cites ref. 22
Table 1, p. 36, row 4
report
-58.37 kJ/mol-atomBCC_B2, AlCo0DFTDFTAl–Co[2] Wang 2017
cites ref. 21
Table 1, p. 36, row 1
report
-58.18 kJ/mol-atomBCC_B2, AlCo0DFTDFTAl–Co[2] Wang 2017
cites ref. 23
Table 1, p. 36, row 3
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 AlCo
ValueUnitPrintedReadingMethod (class, basis)CompositionScatterConversionEffective
-60.7kJ/mol-atom0.50.053.5 (unknown, calibrated)3.5
-59.5kJ/mol-atom0.053.5 (unknown, calibrated)3.5
-58.46kJ/mol-atom0.0053.929 (dft, calibrated)3.929
-58.37kJ/mol-atom0.0053.929 (dft, calibrated)3.929
-58.18kJ/mol-atom0.0053.929 (dft, calibrated)3.929

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 AlCo
SourceEntrykJ/mol-atomeV/atomSpace groupE above hull (kJ/mol-atom)E above hull (eV/atom)Theoretical
Materials Projectmp-aaaaaaky-58.998-0.611477Pm-3m00no
OQMDoqmd-10411-58.889-0.610342Pm-3m0.32310.0033no

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. Xuan L. Liu, Greta Lindwall, Thomas Gheno, Zi-Kui Liu, Thermodynamic modeling of Al–Co–Cr, Al–Co–Ni, Co–Cr–Ni ternary systems towards a description for Al–Co–Cr–Ni, Calphad 52, 125-142 (2016). doi:10.1016/j.calphad.2015.12.007
  2. Peisheng Wang, Wei Xiong, Ursula R. Kattner, Carelyn E. Campbell, Eric A. Lass, Oleg Y. Kontsevoi et al., Thermodynamic re-assessment of the Al-Co-W system, Calphad 59, 112-130 (2017). doi:10.1016/j.calphad.2017.09.007