Abstract
In the past decade attempts to obtain a theoretical knowledge of thermodynamic data and phase diagrams of alloys have been made by combining, at a high level of accuracy, both quantum-mechanical and statistical-thermodynamical contributions. These calculations have to take into account the local chemical environment in the alloy which is important in determining both the internal energy and the entropy of configuration. One of the most efficient methods for including short and long range order is the cluster variation method. This method needs, as input the effective cluster interactions which determine ordering or clustering reactions occurring in a given lattice. These interactions can be derived from experimental data such as critical temperatures or enthalpies of formation, but they can also be obtained within the tightbinding framework or by using purely “ab-initio” methods such as the linear muffin tin orbitals. These methods are presented and the results obtained in binary metallic alloys are reported.
Résumé
Durant les dix dernières années des efforts pour obtenir une connaissance théorique des données de thermodynamique et des diagrammes de phase des alliages ont été menés en combinant, avec une grande précision, à la fois la mécanique quantique et la thermodynamique statistique. Ces calculs doivent prendre en compte l’environnement chimique local dans l’alliage qui est important pour déterminer conjointement l’énergie interne et l’entropie de la configuration. Une des méthodes les plus efficaces pour tenir compte de l’ordre à courte et longue distance est la méthode variationnelle des amas. Cette méthode nécessite en entrée les interactions d’amas apparaissant. Ces interactions peuvent être dérivées de données expérimentales telles que la température critique ou les enthalpies de formation, mais peuvent l’être également en utilisant des méthodes purement «ab-initio»
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Colinet, C., Pasturel, A. (1998). First Principles Calculations of Binary Alloy Phase Diagrams. In: Caliste, JP., Truyol, A., Westbrook, J.H. (eds) Thermodynamic Modeling and Materials Data Engineering. Data and Knowledge in a Changing World. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72207-3_5
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