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

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

1999-06-14

arxiv.org/abs/cond-mat/9906190v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

5 pages, Revtex, accepted for publication in Europhysics Letters, 2 figures not included, available at http://www.gcr.jussie

Scientific paper

10.1209/epl/i1999-00427-7

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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