As stated by Valderrama, GNQ is appropriate to represent phase behavior of binary mixtures including a supercritical component (Valderrama 2003).
The database already contains almost 10,000 data points for the density, bubble point, and azeotropic behavior of binary mixtures.
The fluidized behavior of binary mixtures of moist sawdust and glass spheres has been investigated.
These mixture descriptors were successfully used to predict the azeotropic behavior of binary mixtures in a previous study [4] as well as in our work.
Herráez et al. [31] proposed a new correlation equation based on the linear behavior of binary mixtures: eta,; =,eta_{{1},; +,eta_{2}{2},, -,,eta_{1} ),x_{22} (22).
The miscibility behavior of binary mixtures of polymeric and low molecular weight molecules was studied using a combination of modified Flory–Huggins theory and molecular simulation techniques.
Effectively, the phase behavior of binary mixtures containing cholesterol and phospholipids indicated nonideal mixing of cholesterol and the presence of ld/lo immiscibility regions (30– 32), and cholesterol promotes the lo domain (33).
The phase behavior and morphology of binary mixtures of a homogeneous polystyrene-block-polyisoprene (SI diblock) copolymer and a polyisoprene (hPI) were investigated using small-angle X-ray scattering (SAXS), light scattering, transmission electron microscopy (TEM), and oscillatory shear rheometry with an aim to elucidate homopolymer-induced microphase separation of a homogeneous block copolymer.
Three different atomistic approaches were used to investigate the phase behavior and χ parameters of binary mixtures consisting of polymethyl methacrylate (PMMA) and 4-n-pentyl-4′-cyanobiphenyl (5CB).
