Computational investigation of structural fluctuations in barium silicate glass

Abstract Structural fluctuations exist within glass‐forming systems because of their non‐crystalline structure and interactions between network formers and modifiers. A comprehensive understanding of structural fluctuations could be used to predict nucleation and crystallization in glass‐forming systems. In this work, we investigate structural fluctuations from a computational perspective to provide atomic‐scale insights into their fundamental mechanisms. A series of binary barium silicate glasses across a range of compositions were chosen for this study. Molecular dynamic simulations were used to analyze the fluctuations for bonding interactions, bond‐angle distributions, and Q n distributions. Topological constraint theory is applied for predicting the rigidity of glass network form analyzing the bonds constraints and angular constraints within the glass matrix. Our approach combines molecular dynamic simulations with topological constraint theory to reveal the local rigidity and structural fluctuations within glass‐forming systems at different temperatures.

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Publication Details

Journal
Journal of the American Ceramic Society
Published
2025-12-21
DOI
https://doi.org/10.1111/jace.70481
Primary Topic
Glass properties and applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Computational investigation of structural fluctuations in barium silicate glass

John C. Mauro, Chang Dong Han
Journal of the American Ceramic Society
Glass properties and applications
article

Computational investigation of structural fluctuations in barium silicate glass

John C. Mauro, Chang Dong Han
article en

Abstract

Abstract Structural fluctuations exist within glass‐forming systems because of their non‐crystalline structure and interactions between network formers and modifiers. A comprehensive understanding of structural fluctuations could be used to predict nucleation and crystallization in glass‐forming systems. In this work, we investigate structural fluctuations from a computational perspective to provide atomic‐scale insights into their fundamental mechanisms. A series of binary barium silicate glasses across a range of compositions were chosen for this study. Molecular dynamic simulations were used to analyze the fluctuations for bonding interactions, bond‐angle distributions, and Q n distributions. Topological constraint theory is applied for predicting the rigidity of glass network form analyzing the bonds constraints and angular constraints within the glass matrix. Our approach combines molecular dynamic simulations with topological constraint theory to reveal the local rigidity and structural fluctuations within glass‐forming systems at different temperatures.

Journal of the American Ceramic SocietyVol. 109(1)
Pennsylvania State University (US)
University of Pennsylvania, Pennsylvania State University, Army Research Office
Openalex Percentile: Top 48%
Glass properties and applications
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