Neural networks for modelling material thermostability
نویسندگان
چکیده
In this paper, a new methodology based on neural networks is proposed to study the thermal degradation process of some cholesteric liquid crystals decorated with ferrocene. First of all, a set of experimental data is obtained applying thermal analysis methods, under dynamic heating conditions. Neural networks were used to predict the thermostability (appreciated by the temperature when the degradation process starts and the temperature corresponding to the maximal degradation rate) as function of some characteristics of the studied compounds (molecular weight, polarizability and some structural parameters determined by molecular modeling).
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