A simple gE-model for generating all basic types of binary liquid–liquid equilibria and their pressure dependence. Thermodynamic constraints at critical loci

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Publication Date
DOI 10.1039/A902825K
Impact Factor 3.676
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Abstract

We survey the types of binary (T,p,x) liquid–liquid phase diagrams that have already been found experimentally or that can be predicted to exist, emphasizing the topological properties of the temperature–pressure relation along their critical loci. We use the simplest gE-model compatible with all known basic behavior. The distinct types of phase diagrams are also discussed in light of simple molecular arguments. These, in turn, will serve to predict the thermodynamics of the mixture, i.e., the underlying excess enthalpic, entropic, and volumetric properties to which the gE-model has to conform. The temperature and pressure dependences of these thermodynamic quantities play a fundamental role. From this functional point of view, all possible (T,p,x) phase diagrams can be reduced to just four types. The model presents six parameters with direct physical meaning. While the slope of the T–p curve for critical demixing permits us to establish a relation between hE and vE, its curvature enables us to obtain information about the mixture's compressibility and heat capacity as well. The last section is devoted to the analysis of more complicated cases than those corresponding to basic types of phase diagrams.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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