Critical anomaly of dielectric permittivity for the temperature and pressure paths on approaching the critical consolute point.

Pressure behaviour of dielectric permittivity on approaching the near-critical consolute point

– Results are presented of studies on dielectric permittivity (ε) for the isothermal pressure (P ) path of approaching the near-critical consolute point in 1-nitropropane–hexadecane solution. The pretransitional anomaly is well portrayed by the relation isomorphic to that applied in temperature (T ) studies under atmospheric pressure. However, the ε(P ) anomaly is much larger, with almost negli...

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

Ž . Ž . Results of isothermal high-pressure up to 120 MPa and isobaric Ps0.1 and 51 MPa temperature studies of dielectric Ž . Ž . permittivity in nitrobenzene–dodecane binary solution are presented. The dependencies of ́ P and ́ T obtained can be well portrayed by isomorphic relations with the same value of the critical exponent fs1yaf0.88. The influence of correction-to-scaling terms for the t...

Mode coupling behavior in glass-forming liquid crystalline isopentylcyanobiphenyl.

Linear and nonlinear dielectric measurements of liquid crystalline chiral isopentylcyanobiphenyl (5*CB) and n -pentylcyanobiphenyl (5CB), combined with viscosity eta (T) data, are presented. The 5*CB compound glassifies on cooling in the cholesteric phase whereas 5CB crystallizes in the nematic phase. In both compounds the temperature evolution of dielectric relaxation times, the dc conductivit...

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

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...