Fluid Phase Equilibria

Fluid Phase Equilibria publishes high-quality papers dealing with experimental, theoretical, and applied research related to equilibrium and transport properties of fluids, solids, and interfaces. Subjects of interest include physical/phase and chemical equilibria; equilibrium and nonequilibrium thermophysical properties; fundamental thermodynamic relations; and stability. The systems central to the journal include pure substances and mixtures of organic and inorganic materials, including polymers, biochemicals, and surfactants, with sufficient characterization of composition and purity for the results to be reproduced. Naturally occurring systems that cannot be completely characterized will be considered only if they are of high practical interest and the work leads to significant new findings. In all cases, enough detail must be given to permit independent verification, and authors are also expected to provide physical or chemical interpretations of the results.

Experimental research can include measurements under all conditions of temperature, pressure, and composition, including critical and supercritical. Measurements are to be associated with systems and conditions of fundamental or applied interest, and may not be only a collection of routine data, such as physical property or solubility measurements at limited pressures and temperatures close to ambient, or surfactant studies focussed strictly on micellisation or micelle structure. Papers reporting common data must be accompanied by new physical insights and/or contemporary or new theory or techniques. All data reports and analyses will be examined by NIST for consistency with the requirements posted at http://trc.nist.gov/FPE-Support.html

Theoretical and computational studies can include equations of state; correlations or predictive models; molecular dynamics and Monte Carlo simulations; statistical thermodynamics; quantum chemistry; and other applied mathematical and computational approaches. Research reporting new theories and models are expected to show adequate comparisons of predictive ability and accuracy with both applicable data and contemporary existing models. Contributions on artificial neural networks, machine learning, and similar approaches will only be considered when full details of the methodology are provided and comparisons of accuracy are made with existing physically-based models, or if no thermodynamic models are available. All reported computational studies must be fully reproducible by others. As such all algorithms and methods should be described in sufficient detail, all parameters for models, force fields, and electronic structure methods should be given explicitly in the manuscript or supporting information.

The journal publishes full research papers and also short communications to describe emerging ideas for which rapid publication is essential. Critical reviews are encouraged and should be prepared in consultation with the Editor-in-Chief. The journal will not publish articles that have appeared partially, or completely, in other journals, that plagiarize other works, or that are incompletely referenced; verification will be made using the software at http://www.ithenticate.com/products/crosscheck. The text must be in English and should be clear, in a well-structured style, and be free of grammatical and spelling errors.