CALPHAD Uncertainty Quantification and TDBX

CALPHAD uncertainty quantification (UQ) is the foundation of materials design with quantified confidence. We report a framework and software packages to enable CALPHAD UQ assessment and calculation using commercial CALPHAD software (Thermo-Calc). This Bayesian inference framework is coupled with a M...

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Veröffentlicht in:	JOM (1989) Jg. 73; H. 1; S. 116 - 125
Hauptverfasser:	Lin, Yu, Saboo, Abhinav, Frey, Ramón, Sorkin, Sam, Gong, Jiadong, Olson, Gregory B., Li, Meng, Niu, Changning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2021 Springer Nature B.V
Schlagworte:	Algorithms Augmenting Physics-based Models in ICME with Machine Learning and Uncertainty Quantification Bayesian analysis Chemistry/Food Science Data points Design parameters Earth Sciences Engineering Enthalpy Environment Expected values Ground truth Hypothesis testing Markov analysis Markov chains Physics Software packages Solidification Source code Statistical inference Thermodynamics Uncertainty
ISSN:	1047-4838, 1543-1851
Online-Zugang:	Volltext
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