Quantitative Structure–Property Relationship (QSPR) Analysis of ZrO2-Containing Soda-Lime Borosilicate Glasses

Lu, Xiaonan; Deng, Lu; Gin, Stéphane; Du, Jincheng

doi:10.1021/acs.jpcb.8b11108

Title: Quantitative Structure–Property Relationship (QSPR) Analysis of ZrO₂-Containing Soda-Lime Borosilicate Glasses

Journal Article · Mon Jan 14 00:00:00 EST 2019 · Journal of Physical Chemistry. B, Condensed Matter, Materials, Surfaces, Interfaces and Biophysical Chemistry

DOI:https://doi.org/10.1021/acs.jpcb.8b11108· OSTI ID:1902991

Lu, Xiaonan ^[1]; Deng, Lu ^[1]; Gin, Stéphane ^[2];

^[1]

Univ. of North Texas, Denton, TX (United States)
CEA, DEN, DE2D, SEVT, Bagnols sur Cèze (France)

Quantitative structure–property relationship (QSPR) analysis is a promising approach to correlate structural features with properties of glass materials that lack long-range order and usually have complex structures. By using carefully chosen descriptors based on structural models generated from molecular dynamics (MD) simulations, correlations with properties and insights on glass behaviors can be obtained. Zirconia can significantly alter glass properties including chemical durability, even in a small amount, and hence plays an important role in vitrification of nuclear waste where long-term chemical durability is desired. In this study, borosilicate glasses with the composition of xZrO₂–(61 – x)SiO₂–17B₂O₃–18Na₂O–4CaO with x = 0, 1, 2, 4, 6, and 8 were simulated using classical MD simulations with the recently developed composition-dependent potentials. Short-range (e.g., bond distance and coordination numbers) and medium-range (e.g., Qn distribution, network connectivity, and ring-size distribution) structural features altered by ZrO₂ were obtained and analyzed. The use of a descriptor (Fnet descriptor) that combines short-range structural characteristics, from MD simulations, and the cation-oxygen single bond strength was found to provide excellent linear correlations with the density and initial dissolution rate of these glasses. Furthermore, the results show that by combining MD simulations and QSPR analysis the composition and structural effect on the properties of complex multicomponent glasses can be elucidated, thus suggesting that this is a promising approach for future glass research and new composition design.

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Research Organization:: Univ. of North Texas, Denton, TX (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: SC0016584

OSTI ID:: 1902991

Journal Information:: Journal of Physical Chemistry. B, Condensed Matter, Materials, Surfaces, Interfaces and Biophysical Chemistry, Vol. 123, Issue 6; ISSN 1520-6106

Publisher:: American Chemical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 30 works

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