Pressure and temperature studies of dielectric permittivity in the homogeneous phase of nitrobenzene–dodecane binary mixture

Dielectric and Thermodynamic Properties of 2, 3-Butanediol + 2-ethyl-1-hexanol Mixtures

Experimental results of dielectric investigations for binary mixtures of 2, 3-butanediol, 2, 3-BD, in2-ethyl-1-hexanol, 2EH, were reported for various mole fractions and temperatures (298.2-308.2) Kand they were used to calculate dielectric parameters such as Kirkwood correlation factor, excesspermittivity and Bruggeman parameter. These parameters were used to carry out temperaturedependent die...

Temperature and pressure studies of dielectric permittivity in near-critical binary mixtures

An apparent critical point in binary mixtures: experimental and simulation study.

We report the experimental and simulation studies for the system of nitrobenzene-cyclododecane, showing an apparent critical point, which lies in their metastable, experimentally inaccessible state, below their melting point, affecting physical and chemical properties of this system in the stable liquid phase. The nonlinear dielectric effect (NDE) was measured in the mixture of nitrobenzene wit...

Prediction of Structural Changes in Gas Hydrate for Methane and Ethane Mixture by Using Tangent Plane Distance Minimization

Abstract:  In this study, the change in the crystalline structure of gas hydrate was predicted for ternary mixture of methane-ethane-water. For this purpose, the tangent plane distance (TPD) minimization method was used. First, the calculations were performed for the binary mixtures of methane-water and ethane-water as the gas and liquid phases. The results show that for a binary mixture of th...

Prediction of true critical temperature and pressure of binary hydrocarbon mixtures: A Comparison between the artificial neural networks and the support vector machine

Two main objectives have been considered in this paper: providing a good model to predict the critical temperature and pressure of binary hydrocarbon mixtures, and comparing the efficiency of the artificial neural network algorithms and the support vector regression as two commonly used soft computing methods. In order to have a fair comparison and to achieve the highest efficiency, a comprehen...