Predicting the dissolution rate of borosilicate glasses using QSPR analysis based on molecular dynamics simulations
Abstract
Abstract Quantitative Structure Property Relationship (QSPR) analysis based on molecular dynamics (MD) simulations is a promising approach for establishing the composition‐property relationships of glasses and other materials with complex structures. A series of 20 borosilicate, aluminosilicate, and boroaluminosilicate glasses have been modeled using MD simulations with recently developed effective potentials. Short‐ and medium‐range structures of these glasses were analyzed and, based on the structural information, QSPR analysis of the initial dissolution rates ( r 0 ) of these glasses that were measured at 90°C and pH 9 by using various structural descriptors such as percentage of bridging oxygen species, network connectivity, and average ring size. The structural descriptor, F net , which contains both energetic information such as single bond strength and structural information such as cation coordination number and Q n distribution, was also used. It was found that while the overall network connectivity, average ring size and F net provide reasonable correlations with r 0 of studied glasses, F net gives the best correlation among the descriptors. For glasses that show incongruent dissolution, it was found that modification of glass compositions to account for preferential release of modifier cations is necessary to achieve best correlations. Themore »
- Authors:
-
- Department of Materials Science and Engineering University of North Texas Denton TX USA
- Department of Materials Science and Engineering University of North Texas Denton TX USA, Energy and Environment Directorate Pacific Northwest National Laboratory Richland WA USA
- CEA DEN DE2D University of Montpellier Marcoule France
- Physics of AmoRphous and Inorganic Solids Laboratory (PARISlab) University of California Los Angeles CA USA
- Energy and Environment Directorate Pacific Northwest National Laboratory Richland WA USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1781134
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Journal of the American Ceramic Society
- Additional Journal Information:
- Journal Name: Journal of the American Ceramic Society Journal Volume: 104 Journal Issue: 9; Journal ID: ISSN 0002-7820
- Publisher:
- Wiley-Blackwell
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Du, Jincheng, Lu, Xiaonan, Gin, Stéphane, Delaye, Jean‐Marc, Deng, Lu, Taron, Melanie, Bisbrouck, Nicolas, Bauchy, Mathieu, and Vienna, John D. Predicting the dissolution rate of borosilicate glasses using QSPR analysis based on molecular dynamics simulations. United States: N. p., 2021.
Web. doi:10.1111/jace.17857.
Du, Jincheng, Lu, Xiaonan, Gin, Stéphane, Delaye, Jean‐Marc, Deng, Lu, Taron, Melanie, Bisbrouck, Nicolas, Bauchy, Mathieu, & Vienna, John D. Predicting the dissolution rate of borosilicate glasses using QSPR analysis based on molecular dynamics simulations. United States. https://doi.org/10.1111/jace.17857
Du, Jincheng, Lu, Xiaonan, Gin, Stéphane, Delaye, Jean‐Marc, Deng, Lu, Taron, Melanie, Bisbrouck, Nicolas, Bauchy, Mathieu, and Vienna, John D. Tue .
"Predicting the dissolution rate of borosilicate glasses using QSPR analysis based on molecular dynamics simulations". United States. https://doi.org/10.1111/jace.17857.
@article{osti_1781134,
title = {Predicting the dissolution rate of borosilicate glasses using QSPR analysis based on molecular dynamics simulations},
author = {Du, Jincheng and Lu, Xiaonan and Gin, Stéphane and Delaye, Jean‐Marc and Deng, Lu and Taron, Melanie and Bisbrouck, Nicolas and Bauchy, Mathieu and Vienna, John D.},
abstractNote = {Abstract Quantitative Structure Property Relationship (QSPR) analysis based on molecular dynamics (MD) simulations is a promising approach for establishing the composition‐property relationships of glasses and other materials with complex structures. A series of 20 borosilicate, aluminosilicate, and boroaluminosilicate glasses have been modeled using MD simulations with recently developed effective potentials. Short‐ and medium‐range structures of these glasses were analyzed and, based on the structural information, QSPR analysis of the initial dissolution rates ( r 0 ) of these glasses that were measured at 90°C and pH 9 by using various structural descriptors such as percentage of bridging oxygen species, network connectivity, and average ring size. The structural descriptor, F net , which contains both energetic information such as single bond strength and structural information such as cation coordination number and Q n distribution, was also used. It was found that while the overall network connectivity, average ring size and F net provide reasonable correlations with r 0 of studied glasses, F net gives the best correlation among the descriptors. For glasses that show incongruent dissolution, it was found that modification of glass compositions to account for preferential release of modifier cations is necessary to achieve best correlations. The findings were discussed with results of recent studies on evaluating the compositional dependence of glass dissolution behavior using the topological‐constraints‐based models.},
doi = {10.1111/jace.17857},
journal = {Journal of the American Ceramic Society},
number = 9,
volume = 104,
place = {United States},
year = {Tue May 04 00:00:00 EDT 2021},
month = {Tue May 04 00:00:00 EDT 2021}
}
https://doi.org/10.1111/jace.17857
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