Journal article
Improvement of excess parameters from thermodynamic and phase diagram data by a sequential Bayes algorithm
Calphad, Vol.15(1), pp.69-78
1991
Abstract
A sequential Bayesian parameter estimation technique ensures that a minimum of experimental thermodynamic and phase diagram data suffices for the calculation of excess functions which are comparable in accuracy and precision with quantities obtained by conventional methods. In addition, the new algorithm provides a feedback between data evaluation and experimental design. Typical applications of the proposed method are illustrated by several examples.
Details
- Title
- Improvement of excess parameters from thermodynamic and phase diagram data by a sequential Bayes algorithm
- Authors/Creators
- E. Königsberger (Author/Creator)
- Publication Details
- Calphad, Vol.15(1), pp.69-78
- Publisher
- Elsevier Ltd
- Identifiers
- 991005543659207891
- Copyright
- © 1991 Published by Elsevier Ltd
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
Metrics
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InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Citation topics
- 2 Chemistry
- 2.89 Ionic, Molecular & Complex Liquids
- 2.89.462 Excess Molar Volumes
- Web Of Science research areas
- Chemistry, Physical
- Materials Science, Multidisciplinary
- Metallurgy & Metallurgical Engineering
- Thermodynamics
- ESI research areas
- Materials Science