Thermophysical properties are the data necessary for discussing the chemical processes. Such thermophysical properties will be commonly evaluated using corresponding-state principle or group contribution method. Recently chemoinformatic procedures like polynomial expansion equation and genetic algorithm has been used and developed for predicting thermophysical properties.
This article reviews the predictive method of thermophysical properties. Firstly, the acentric factor, density, vapor pressure, latent heat of vaporization, viscosity, thermal conductivity and surface tension have been predicted using critical constants, normal boiling point and molecular weight as the molecular descriptors in the polynomial expansion equation. The predicted results have been then compared with those by the previous predicted methods. Secondary, the melting point, viscosity and ionic conductivity of ionic liquids, and thermal conductivity of CFC alternatives have been predicted using group, and molecular volume obtained by MOPAC as the molecular descriptors.

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Thermally assisted magnetic recording is one of promising future techniques to improve magnetic recording memory density. This paper reports the research subsidized by our college about 1) local surface plasmon antenna to confine a laser spot, and 2) nano-particle magnetic recording media for thermally assisted magnetic recording. The plasmon antennas are evaluated by simulation and fabricated by a photo-resist process or a focused ion beam process. It is revealed that the particle media combined with the surface plasmon technique have a potential to confine a laser spot into a particle size.

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