1991
DOI: 10.1016/0022-3093(91)90335-4
|View full text |Cite
|
Sign up to set email alerts
|

Linear and non-linear structural relaxation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
85
0
1

Year Published

1994
1994
2010
2010

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 129 publications
(90 citation statements)
references
References 24 publications
3
85
0
1
Order By: Relevance
“…A useful concept, commonly used to describe the glass transition, is that of fictive temperature (T f ; Tool 1946) in which the macroscopic property of a glass (e.g., volume V or enthalpy H) is described in terms of the temperature at which the glass would be in equilibrium. The fictive temperature is a convenient, conceptual term used to describe the relaxation of structure following a rapid change in temperature and reflects the kinetically impeded rearrangement of liquid structure (Moynihan et al 1991), which itself is described by the structural relaxation time, t.…”
Section: Introductionmentioning
confidence: 99%
“…A useful concept, commonly used to describe the glass transition, is that of fictive temperature (T f ; Tool 1946) in which the macroscopic property of a glass (e.g., volume V or enthalpy H) is described in terms of the temperature at which the glass would be in equilibrium. The fictive temperature is a convenient, conceptual term used to describe the relaxation of structure following a rapid change in temperature and reflects the kinetically impeded rearrangement of liquid structure (Moynihan et al 1991), which itself is described by the structural relaxation time, t.…”
Section: Introductionmentioning
confidence: 99%
“…In order to consolidate these identifications it is worthwhile to explore the dynamic heterogeneity in the series, intertwined with the temperature-frequency scaling that develops near the glass transition. As early as 1965 Adam and Gibbs 11) observed that as one approaches T g from above, the fast dynamics involving fewer atoms (Johari-Goldstein β-process 22) ) decouples from the slow α-relaxations that are characterized by cooperative motion of groups of 35-to-300 atoms. This diffusive dynamics becomes successively sluggish, as the temperature is decreased, eventually giving rise to a diverging timescale at the Vogel-Fulcher temperature T 0 .…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, relatively scarce studies 10) relate these characteristics to appropriate physical parameters. The fact that temperature-scanning experiments are essentially of non-equilibrium kind 11) has to be taken into account while interpreting its thermogram. Examining glass transition at various heating rates, of materials covering a breadth of property-values is one way to explore these issues.…”
Section: Introductionmentioning
confidence: 99%
“…[9] These approaches are based on some phenomenological assumptions: the linearization of the relaxation process using the reduced time concept, [7] an asymmetric distribution of relaxation times [discrete for KAHR, continuous (through the stretched exponential function) for TNM] to account for the non-exponential character of relaxation, the introduction of the fictive temperature [10] as structural parameter to account for non-linearity, and the generalization of the timetemperature superposition principle. Whilst each of the assumptions of the TNM model can be criticized, [11,12] this approach is generally able to reproduce the differential scanning calorimetry (DSC) scans recorded on heating the sample after annealing in the glass. On the other hand, clear discrepancies have been observed, notably for polymers, when several thermograms were considered for simultaneous fitting.…”
Section: Introductionmentioning
confidence: 99%