The glass transition temperature (T g) is a fundamental characteristic of an amorphous
polymer. A quantitative structure-property relationship (QSPR) based on error back …

The quantitative structure-property relationship (QSPR) was studied for the prediction of
glass transition temperatures of polystyrenes on a set of 107 polystyrenes using artificial …

The glass transition temperature (Tg) values of three classes of vinyl polymers, ie
polystyrenes, polyacrylates, and polymethacrylates, were predicted by using a quantitative …

The glass transition temperature (T g) is the most important parameter of an amorphous
polymer. A quantitative structure-property relationship (QSPR) was developed for T gs of 82 …

The glass transition temperature, T g, is one of the most important properties of amorphous
polymers. The ability to predict the T g value of a polymer prior to its synthesis it is of great …

Polymeric materials are finding increasing application in commercial optical communication
systems. Taking advantage of techniques from the field of artificial intelligence, the goal of …

An artificial neural network (ANN) implementing a back-propagation algorithm was applied
for the prediction of the glass-transition temperature (Tg) values of 84 polyacrylates and 21 …

Quantitative structure− property relationships (QSPR) are developed to correlate glass
transition temperatures and chemical structure. Both monomer and repeat unit structures are …

A set of new molecular descriptors, RSC, SMC, DHB and MPE, which are obtained directly
from polystyrenes monomer structures, are used to predict the Tg values of polystyrenes and …

A novel approach to the prediction of the glass transition temperature (Tg) for high molecular
polymers is presented. A new quantitative structure–property relationship (QSPR) model is …