Identifying Independent Components and Internal Process Order Parameters in Nonequilibrium Multicomponent Nonstoichiometric Compounds
Yanzhou Ji, Yueze Tan, Long-Qing Chen

TL;DR
This paper introduces a linear algebra-based method to convert sublattice site fractions into independent components and process order parameters, aiding the modeling of nonstoichiometric compounds in thermodynamics.
Contribution
It provides a general procedure to identify independent components and internal process parameters from sublattice models in nonstoichiometric phases.
Findings
Applicable to various nonstoichiometric phases in databases and literature
Enables modeling of kinetics and microstructure evolution in complex alloys
Facilitates construction of thermodynamic databases with internal process parameters
Abstract
In CALPHAD-type thermodynamic databases, nonstoichiometric compounds are typically described by sublattice models where the sublattice site fractions represent the occupation probability of different atomic, ionic or defect species on different sublattices. Here, we develop a general procedure and corresponding linear algebra tools for converting the sublattice site fractions to a combination of independent component compositions and internal process order parameters describing the extent of internal atomic exchange, electronic redox and defect generation reactions. We apply them to a number of nonstoichiometric phases in thermodynamic databases and literature. The general procedure can be applied to constructing thermodynamic databases in terms of internal process order parameters for nonstoichiometric phases in multicomponent systems such as high-entropy oxides and alloys, which can…
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Taxonomy
TopicsChemical Thermodynamics and Molecular Structure
