Issue 44, 2022

Combined description of pressure–volume–temperature and dielectric relaxation of several polymeric and low-molecular-weight organic glass-formers using SL-TS2 approach

Abstract

We apply our recently-developed mean-field “SL-TS2” (two-state Sanchez–Lacombe) model to simultaneously describe dielectric α-relaxation time, τα, and pressure–volume–temperature (PVT) data in four polymers (polystyrene, poly(methylmethacrylate), poly(vinyl acetate) and poly(cyclohexane methyl acrylate)) and four organic molecular glass formers (ortho-terphenyl, glycerol, PCB-62, and PDE). Previously, it has been shown that for all eight materials, the Casalini–Roland thermodynamical scaling, τα = f(Tvγsp) (where T is temperature and vsp is specific volume) is satisfied (R. Casalini and C. M. Roland, Phys. Rev. E, 2004, 69(6), 62501). It has also been previously shown that the same scaling emerges naturally (for sufficiently low pressures) within the “SL-TS2” framework (V. V. Ginzburg, Soft Matter, 2021, 17, 9094–9106). Here, we fit the ambient pressure curves for the relaxation time and the specific volume as functions of temperature for the eight materials and observe a good agreement between theory and experiment. We then use the Casalini–Roland scaling to convert those results into “master curves”, thus enabling predictions of relaxation times and specific volumes at elevated pressures. The proposed approach can be used to describe other glass-forming materials, both low-molecular-weight and polymeric.

Graphical abstract: Combined description of pressure–volume–temperature and dielectric relaxation of several polymeric and low-molecular-weight organic glass-formers using SL-TS2 approach

Supplementary files

Article information

Article type
Paper
Submitted
02 Aug 2022
Accepted
26 Oct 2022
First published
27 Oct 2022

Soft Matter, 2022,18, 8456-8466

Author version available

Combined description of pressure–volume–temperature and dielectric relaxation of several polymeric and low-molecular-weight organic glass-formers using SL-TS2 approach

V. V. Ginzburg, A. Zaccone and R. Casalini, Soft Matter, 2022, 18, 8456 DOI: 10.1039/D2SM01049F

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