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arXiv · cond-mat/9906190

Glass transition temperature variation, cross-linking and structure in network glasses

Matthieu Micoulaut·Gerardo G. Naumis
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Abstract

We give general topological rules which very accurately predict the chemical trends in glass transition temperature $T_g$ variation as a function of cross-linking. In multicomponent glasses, these chemical trends permit to distinguish homogeneous compositions (random network) from inhomogeneous ones (local phase separation). The stochastic origin of the Gibbs-Di Marzio equation is predicted at low connectivity and the analytical expression of its parameter emerges naturally from the calculation.

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Matthieu Micoulaut, Gerardo G. Naumis. 1999-06-14. Glass transition temperature variation, cross-linking and structure in network glasses. https://doi.org/10.1209/epl%2Fi1999-00427-7

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