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The improved description of pure substances enables more reliable predictions of phase equilibria in binary mixtures.
In multicomponent systems, very interesting predictions of phase multiplicity of bulk and/or adsorbed phases are obtained.
Inaccurate predictions of phase equilibria can also lead to erroneous design of process facilities and subsequently may cause safety hazards and flow assurance issues.
A significant improvement is found from our model over Flory–Huggins theory and lattice-cluster theory in the predictions of phase equilibria.
The combination of sophisticated synthesis techniques with theoretical predictions of phase stabilities and properties enables to tailor coating materials and phase or layer architectures with unique property combinations.
Accurate predictions of phase equilibria of mixtures are essential for designing and optimizing separation processes and numerous other unit operations in the chemical industry.
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The Self-Organizing Map tool is used to classify the experimental results and the experimental map is used to compare the predictions of phases and properties of compositions reported in the literature.
We experimentally verify the modelled prediction of phase modulation by investigating reflective FLC test cells.
Prediction of phase equilibria of semi-clathrate hydrates has been very rarely investigated in the literature.
Work has been ongoing in building a thermodynamic database for the prediction of phase equilibria in Pt-based superalloys.
A new compositional model is proposed to improve the prediction of phase behavior and physical properties of oil reservoir effluents.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com