2005
DOI: 10.1016/j.jnoncrysol.2005.01.024
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Glass properties: compilation, evaluation, and prediction

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Cited by 38 publications
(22 citation statements)
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“…Many studies have documented the close relationships between physical properties and structure of boron-containing glasses [11][12][13][14][15][16][17][18]. Extensive efforts have also been made to model the effects of composition on properties [19][20][21], many of which are based on structural speciation reactions [22][23][24][25][26][27].…”
Section: Introductionmentioning
confidence: 99%
“…Many studies have documented the close relationships between physical properties and structure of boron-containing glasses [11][12][13][14][15][16][17][18]. Extensive efforts have also been made to model the effects of composition on properties [19][20][21], many of which are based on structural speciation reactions [22][23][24][25][26][27].…”
Section: Introductionmentioning
confidence: 99%
“…Characteristic temperatures and thermal expansion coefficients of the glazes were also calculated from chemical composition determined by XRF by using Priven-2000 calculation method of the glass properties information system SciGlass 6.7 [13].…”
Section: Methodsmentioning
confidence: 99%
“…There are few computer programs that can calculate the viscosity curve as a function of temperature and other physical properties based on the chemical composition of a glass by a linear multiple regression using a large database of properties determined for a number of different glasses [23][24][25]. One of the main databases used for prediction of glass properties is the SciGlass Information System, which contains property data for hundreds of thousands of glasses (more than 230,000 glasses in version SciGlass-6.0) [25][26][27]. The SciGlass program gives highly reliable predictions of composition dependencies of glass properties based on statistical analysis of available information on a selected property and glass-forming system [27].…”
Section: Introductionmentioning
confidence: 99%
“…One of the main databases used for prediction of glass properties is the SciGlass Information System, which contains property data for hundreds of thousands of glasses (more than 230,000 glasses in version SciGlass-6.0) [25][26][27]. The SciGlass program gives highly reliable predictions of composition dependencies of glass properties based on statistical analysis of available information on a selected property and glass-forming system [27]. The use of SciGlass program has been proposed to increase the reliability of the application of existing calculation methods and to check the reliability of experimental data in order to avoid gross errors [25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%