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Revisiting thermodynamics and kinetic diffusivities of uranium–niobium with Bayesian uncertainty analysis
- Source :
- Duong, TC; Hackenberg, RE; Landa, A; Honarmandi, P; Talapatra, A; Volz, HM; et al.(2016). Revisiting thermodynamics and kinetic diffusivities of uranium–niobium with Bayesian uncertainty analysis. Calphad: Computer Coupling of Phase Diagrams and Thermochemistry, 55, 219-230. doi: 10.1016/j.calphad.2016.09.006. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/9kt4s9b8
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- In this work, thermodynamic and kinetic diffusivities of uranium–niobium (U–Nb) are re-assessed by means of the CALPHAD (CALculation of PHAse Diagram) methodology. In order to improve the consistency and reliability of the assessments, first-principles calculations are coupled with CALPHAD. In particular, heats of formation of γ-U–Nb are estimated and verified using various density-functional theory (DFT) approaches. These thermochemistry data are then used as constraints to guide the thermodynamic optimization process in such a way that the mutual-consistency between first-principles calculations and CALPHAD assessment is satisfactory. In addition, long-term aging experiments are conducted in order to generate new phase equilibria data at the γ 2 / α + γ 2 boundary. These data are meant to verify the thermodynamic model. Assessment results are generally in good agreement with experiments and previous calculations, without showing the artifacts that were observed in previous modeling. The mutual-consistent thermodynamic description is then used to evaluate atomic mobility and diffusivity of γ-U–Nb. Finally, Bayesian analysis is conducted to evaluate the uncertainty of the thermodynamic model and its impact on the system's phase stability.
- Subjects :
- 010302 applied physics
Work (thermodynamics)
Chemistry
General Chemical Engineering
Thermodynamics
Materials Engineering
02 engineering and technology
General Chemistry
021001 nanoscience & nanotechnology
Thermal diffusivity
01 natural sciences
Computer Science Applications
Theoretical and Computational Chemistry
Consistency (statistics)
Phase (matter)
0103 physical sciences
Thermochemistry
Statistical physics
0210 nano-technology
Materials
CALPHAD
Uncertainty analysis
Physical Chemistry (incl. Structural)
Phase diagram
Subjects
Details
- ISSN :
- 03645916
- Volume :
- 55
- Database :
- OpenAIRE
- Journal :
- Calphad
- Accession number :
- edsair.doi.dedup.....3b267e6876e53d6486ca96e527f10b1e
- Full Text :
- https://doi.org/10.1016/j.calphad.2016.09.006