Temperature-induced structural change through the glass transition of silicate glass by neutron diffraction

Ying Shi, Ozgur Gulbiten, Jörg Neuefeind, Dong Ma, Albert P. Song, Bryan Wheaton, Mathieu Bauchy, Stephen R. Elliott

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Supercooled silicate liquids exhibit several orders of magnitude increase in viscosity at the glass-transition temperature (Tg) towards the glassy state. Such a drastic dynamical slowdown leads to an abrupt change in the slope of temperature-dependent thermodynamic properties because the measurements reflect the equilibrium-to-nonequilibrium change from liquid to glass. However, an underlying structural change associated with such a transition remains elusive. For instance, understanding the structural origin of the variation in the coefficient of thermal expansion (CTE) of silicate glasses upon vitrification is critical for glass-manufacturing processes and applications. Here, based on temperature-dependent neutron diffraction, we demonstrate that the temperature dependences of both short- A nd medium-range order structural parameters show a pronounced change of slope at Tg for a range of silicate glasses of industrial importance. Interestingly, the short- A nd medium-range order structural parameters are found to be mutually correlated, both below and above Tg. Based on these results, we find that the slope change of the area of the first sharp diffraction peak at Tg is correlated with the extent of the CTE jump at Tg, which offers a structural origin for the discontinuity in the CTE of glasses at Tg. This study can therefore shine light on solving critical industrial problems, such as glass relaxation.

Original languageEnglish
Article number134106
JournalPhysical Review B
Volume101
Issue number13
DOIs
StatePublished - Apr 1 2020
Externally publishedYes

Funding

Neutron measurements used resources at the Spallation Neutron Source, a Department of Energy (DOE) Office of Science User Facility operated by the Oak Ridge National Laboratory. Many thanks are owed to Michelle Everett for technical assistance at NOMAD and Daniel Olds (formerly at ORNL) for the python algorithm for Fourier transformation. Y.S. is grateful for constructive comments from Oliver Alderman of Materials Development Inc. M.B. acknowledges funding provided by the National Science Foundation under Grant No. 1928538. This work has been partially supported by U.S. DOE Grant No. DE-FG02-13ER41967. ORNL is managed by UT-Battelle, LLC, under Contract No. DE-AC05-00OR22725 for the U.S. Department of Energy.

FundersFunder number
National Science Foundation1928538
U.S. Department of EnergyDE-FG02-13ER41967
Oak Ridge National LaboratoryDE-AC05-00OR22725

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