Modeling viscosity of commercial glass melts: Adam–Gibbs equation and Gaussian process regression
A statistically designed property database of six commercial glass families is leveraged to develop models relating viscosity to temperature and composition. Specialized models for each glass family were designed based on the Adam–Gibbs equation. We show that the whole range of viscosity data of one...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-10-01
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| Series: | Journal of Asian Ceramic Societies |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/21870764.2024.2407040 |
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| author | Pavel Ferkl Preeti Malviya Pavel Hrma Albert A. Kruger Ashutosh Goel |
| author_facet | Pavel Ferkl Preeti Malviya Pavel Hrma Albert A. Kruger Ashutosh Goel |
| author_sort | Pavel Ferkl |
| collection | DOAJ |
| description | A statistically designed property database of six commercial glass families is leveraged to develop models relating viscosity to temperature and composition. Specialized models for each glass family were designed based on the Adam–Gibbs equation. We show that the whole range of viscosity data of one glass family from 100 to 1012 Pa s can be accurately modeled using one composition-dependent and two composition-independent parameters when glass transition temperature and viscosity at that temperature are independently determined. Generalization to a broader composition space using the same approach leads to a loss of accuracy compared to specialized models. However, this can be mostly negated when Gaussian process regression is used to estimate the compositional dependence of configuration entropy and fragility exponent parameters of the Adam–Gibbs equation. |
| format | Article |
| id | doaj-art-aeaf48ba38024365b8f7908703add253 |
| institution | Kabale University |
| issn | 2187-0764 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Asian Ceramic Societies |
| spelling | doaj-art-aeaf48ba38024365b8f7908703add2532025-01-23T12:06:46ZengTaylor & Francis GroupJournal of Asian Ceramic Societies2187-07642024-10-0112430632110.1080/21870764.2024.2407040Modeling viscosity of commercial glass melts: Adam–Gibbs equation and Gaussian process regressionPavel Ferkl0Preeti Malviya1Pavel Hrma2Albert A. Kruger3Ashutosh Goel4Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, USADepartment of Materials Science and Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USAAttainX, Support Services Contractor to the Office of River Protection, U.S. Department of Energy, Richland, WA, USAU.S. Department of Energy, Office of River Protection, Richland, WA, USADepartment of Materials Science and Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USAA statistically designed property database of six commercial glass families is leveraged to develop models relating viscosity to temperature and composition. Specialized models for each glass family were designed based on the Adam–Gibbs equation. We show that the whole range of viscosity data of one glass family from 100 to 1012 Pa s can be accurately modeled using one composition-dependent and two composition-independent parameters when glass transition temperature and viscosity at that temperature are independently determined. Generalization to a broader composition space using the same approach leads to a loss of accuracy compared to specialized models. However, this can be mostly negated when Gaussian process regression is used to estimate the compositional dependence of configuration entropy and fragility exponent parameters of the Adam–Gibbs equation.https://www.tandfonline.com/doi/10.1080/21870764.2024.2407040Glass meltviscositymodelingAdam-GibbsGaussian process regression |
| spellingShingle | Pavel Ferkl Preeti Malviya Pavel Hrma Albert A. Kruger Ashutosh Goel Modeling viscosity of commercial glass melts: Adam–Gibbs equation and Gaussian process regression Journal of Asian Ceramic Societies Glass melt viscosity modeling Adam-Gibbs Gaussian process regression |
| title | Modeling viscosity of commercial glass melts: Adam–Gibbs equation and Gaussian process regression |
| title_full | Modeling viscosity of commercial glass melts: Adam–Gibbs equation and Gaussian process regression |
| title_fullStr | Modeling viscosity of commercial glass melts: Adam–Gibbs equation and Gaussian process regression |
| title_full_unstemmed | Modeling viscosity of commercial glass melts: Adam–Gibbs equation and Gaussian process regression |
| title_short | Modeling viscosity of commercial glass melts: Adam–Gibbs equation and Gaussian process regression |
| title_sort | modeling viscosity of commercial glass melts adam gibbs equation and gaussian process regression |
| topic | Glass melt viscosity modeling Adam-Gibbs Gaussian process regression |
| url | https://www.tandfonline.com/doi/10.1080/21870764.2024.2407040 |
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