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Cooling rate effects in sodium silicate glasses: Bridging the gap between molecular dynamics simulations and
Xin Li1, Weiying Song1, Kai Yang1
1Physics of AmoRphous and Inorganic Solids Laboratory (PARISlab), University of California, Los Angeles, California 90095-1593, USA.
The Journal of Chemical Physics
|August 24, 2017
Summary
Molecular dynamics simulations reveal thermal history impacts glass medium-range order, not short-range order. Extrapolation methods allow comparing simulation results to experimental data for glasses.
Area of Science:
- Materials Science
- Computational Chemistry
- Glass Science
Background:
- Molecular dynamics (MD) simulations are vital for predicting glass structure and properties.
- MD simulations are limited to short time scales, requiring fast cooling rates.
- Comparing MD results to experimental data for laboratory-cooled glasses is challenging due to timescale differences.
Purpose of the Study:
- To investigate the effect of cooling rates on glass structure using MD simulations.
- To understand the relationship between thermal history and structural ordering in glasses.
- To develop methods for comparing MD simulation results with experimental data.
Main Methods:
- Performed MD simulations of sodium silicate glass across a wide range of cooling rates (0.01–100 K/ps).
- Analyzed the impact of varying cooling rates on short-range and medium-range order.
- Examined the decoupling of enthalpy and volume relaxation functions.
Main Results:
- Thermal history significantly influences medium-range order but minimally affects short-range order in sodium silicate glass.
- Enthalpy relaxation plateaus rapidly with decreasing cooling rate, while density relaxation is slower.
- A decoupling effect was observed between enthalpy and volume relaxation.
Conclusions:
- MD simulations can capture the influence of thermal history on glass structure.
- Extrapolation techniques enable meaningful comparison between MD simulations and experimental data for glasses cooled at slower rates.
- Findings bridge the gap between computational predictions and experimental observations in glass science.

