Abstract

We show that on cooling towards glass transition configurational entropy exhibits more significant changes than predicted by classic relation. A universal formula according to Kauzmann temperature {T}_{K} is given: S={S}_{0}{t}^{n}, where t=left(T-{T}_{K}right)/T. The exponent n is hypothetically linked to dominated local symmetry. Such a behaviour is coupled to previtreous evolution of heat capacity Delta {C}_{P}^{config.}left(Tright)=left(nC/Tright){left(1-{T}_{K}/Tright)}^{n-1} associated with finite temperature singularity. These lead to generalised VFT relation, for which the basic equation is retrieved. For many glass-formers, basic VFT equation may have only an effective meaning. A universal-like reliability of the Stickel operator analysis for detecting dynamic crossover phenomenon is also questioned. Notably, distortions-sensitive and derivative-based analysis focused on previtreous changes of configurational entropy and heat capacity for glycerol, ethanol and liquid crystal is applied.

Highlights

  • We show that on cooling towards glass transition configurational entropy exhibits more significant changes than predicted by classic relation

  • In Ref.[50] the analysis for 42 low-molecular-weight glass formers led to the conclusion: ‘...there is no compelling evidence for the Vogel–Fulcher–Tammann (VFT) prediction that the relaxation time diverges at a finite temperature

  • Configurational entropy SC(T) may be characterised by the critical-like behaviour, what gives corrected values of the Kauzmann temperature. Both are realised by the n parameter values similar to those calculated from dielectric data in the Dyre-Olsen energy ­index[51,52,53]

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Summary

Introduction

We show that on cooling towards glass transition configurational entropy exhibits more significant changes than predicted by classic relation. Distortionssensitive and derivative-based analysis focused on previtreous changes of configurational entropy and heat capacity for glycerol, ethanol and liquid crystal is applied. It bases mainly on a comparison between experimental data and their scaling via VFT and other model relations.

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Conclusion
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