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Spinodal decomposition in a binary mixture
Physical Review Letters, 1992The spinodal decomposition in a critical mixture of polydimethylsiloxane and diethyl carbonate was investigated by a time-resolved light-scattering technique focusing especially on the early and intermediate stages of phase separation. A second peak in addition to the main peak was found in the higher-scattering-angle region of the spectrum ...
, Kubota, , Kuwahara
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Interdiffusion in binary ionic mixtures
Physical Review A, 1987In this paper we present molecular-dynamics and kinetic-theory calculations of the interdiffusion coefficients in dense binary ionic mixtures for conditions appropriate to both astrophysical and inertial-confinement fusion (ICF) plasmas. The diffusion coefficient is the product of a Green-Kubo integral and a thermodynamic prefactor.
, Boercker, , Pollock
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Oscillatory convection in binary mixtures
Physical Review A, 1986Two-dimensional oscillatory convection in a binary fluid mixture in an infinite plane porous layer heated from below is studied. Small-amplitude nonlinear solutions in the form of standing and traveling waves are found and their relative stability is established. Stable traveling waves are preferred near onset.
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Excess compressibility in binary liquid mixtures
The Journal of Chemical Physics, 2007Brillouin scattering experiments have been carried out on some mixtures of molecular liquids. From the measurement of the hypersonic velocities we have evaluated the adiabatic compressibility as a function of the volume fraction. We show how the quadratic form of the excess compressibility dependence on the solute volume fraction can be derived by ...
Aliotta F +5 more
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Interactions in a binary mixture of cationic surfactants
Colloids and Surfaces A: Physicochemical and Engineering Aspects, 1997Mixed micelles and mixed monolayers formed in mixtures of cationic surfactant have been investigated.
Filipović-Vinceković, Nada +2 more
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GEOMETRIC MODELLING AND ALGORITHMS FOR BINARY MIXTURES
International Journal of Computational Geometry & Applications, 1994We present some computational methods in a particular case of mixing and separation theory, as an application of classical results in the field of computational geometry. Our aim is the production of some given mixtures by mixing parts of basic products.
Bernard Lacolle +2 more
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1998
Abstract Binary mixtures will here be considered as a mixture of a fluid substance, such as those described in Chapter 1, which will be always called component 1, and a second substance, component 2. The binary mixtures that are important in supercritical fluids broadly fall into two areas, d pending on the molar mass and critical ...
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Abstract Binary mixtures will here be considered as a mixture of a fluid substance, such as those described in Chapter 1, which will be always called component 1, and a second substance, component 2. The binary mixtures that are important in supercritical fluids broadly fall into two areas, d pending on the molar mass and critical ...
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Odorntensity interaction in binary mixtures.
Journal of Experimental Psychology: Human Perception and Performance, 1993Four principles underlying odor summation in mixtures were examined on the bases of 10 Ss' magnitude estimates of 41 mixtures and their components (pyridine and DMDS). Thus, the overall intensity summation for mixtures are compared to self-addition reflected by the power function for single substances: Hypoaddition is a characteristic of both ...
B, Berglund, M J, Olsson
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Fractionation of Binary Mixtures
2017Based on the mass balance and the vapour–liquid equilibrium, the number of necessary stages for the separation and the required reflux ratio are determined using graphical and calculation methods. A shortcut method is given for a quick estimation. The influence of the thermal condition of the feed product on the separation and the column loading is ...
M. Nitsche, R. Gbadamosi
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The VC Dimension for Mixtures of Binary Classifiers
Neural Computation, 2000The mixtures-of-experts (ME) methodology provides a tool of classification when experts of logistic regression models or Bernoulli models are mixed according to a set of local weights. We show that the Vapnik-Chervonenkis dimension of the ME architecture is bounded below by the number of experts m and above by O (m4s2), where s is the dimension of the
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