2017
DOI: 10.1016/j.chemgeo.2016.07.019
|View full text |Cite
|
Sign up to set email alerts
|

Modelling configurational entropy of silicate melts

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
18
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 17 publications
(22 citation statements)
references
References 37 publications
4
18
0
Order By: Relevance
“…In recent years, the degree of polymerization of silicate melts and glasses, frequently expressed by the SM and NBO/T parameters, has been shown to be strongly correlated to physical properties (e.g., viscosity, heat capacity, fictive temperature, and configurational entropy). [17,26,27,20,46,47] In this study, we have shown that Raman ratio is strongly correlated to NBO/T and SM parameters, demonstrating that results from any spectrometer can potentially be correlated via a simple normalization procedure applied to Raman spectral intensity ratios (i.e., R = I LW /I HW ).…”
Section: Raman-based Models For Silicate Melts Viscositymentioning
confidence: 79%
See 1 more Smart Citation
“…In recent years, the degree of polymerization of silicate melts and glasses, frequently expressed by the SM and NBO/T parameters, has been shown to be strongly correlated to physical properties (e.g., viscosity, heat capacity, fictive temperature, and configurational entropy). [17,26,27,20,46,47] In this study, we have shown that Raman ratio is strongly correlated to NBO/T and SM parameters, demonstrating that results from any spectrometer can potentially be correlated via a simple normalization procedure applied to Raman spectral intensity ratios (i.e., R = I LW /I HW ).…”
Section: Raman-based Models For Silicate Melts Viscositymentioning
confidence: 79%
“…The method proposed here for retrieving the viscosity of silicate melts is straightforward and can be used on all glasses, melts, and multiphase materials (e.g., characteristic of lavas to those employed in industrial processes) and allows for predicting ancillary transport (i.e., fragility) and thermodynamic (i.e., glass transition temperatures, configurational heat capacities, and entropies) properties. [17,47,55,56] The relative ease with which Raman spectra can be collected in the laboratory, in the field, or remotely suggests many diverse applications in the Earth, planetary, and industrial sciences. [57] Raman measurements involve relatively straightforward sample preparation.…”
Section: Discussionmentioning
confidence: 99%
“…Determining the heat capacities of all of the melts (c pl ) is not possible due to crystallisation during the measurements. Therefore, c pl and C p conf are modelled after Giordano and Russell (2017) and Russel and Giordano (2017) as discussed below.…”
Section: Differential Scanning Calorimetrymentioning
confidence: 99%
“…the rate at which viscosity varies with temperature, that is an in− dication of melts capacity to store energy), the calorimetric properties (configurational entropy, S conf and the config− urational heat capacity C p conf ; see Equation A2.4) [e.g. Gior− dano and Dingwell, 2003a;Giordano et al, 2008b;Chevrel et al, 2013;Giordano and Russell, 2017;Russell and Giordano, 2017] Angell, 1991;Giordano and Dingwell, 2003] ( Figures 1,2). Russell et al [2003], in agreement with ear− ly theoretical studies [e.g.…”
Section: T -Dependent Models For Predicting Melt Viscositymentioning
confidence: 99%
“…These properties play crucial roles at micro− to macroscopic scale and many are correlated, in a non−lin− ear manner [e.g. Richet et al, 1984;Giordano et al, 2008a;Russell and Giordano, 2017].…”
Section: Introductionmentioning
confidence: 99%