Abstract Machine learning (ML) is emerging as a powerful tool to predict the properties of
materials, including glasses. Informing ML models with knowledge of how glass composition …

The dielectric and electrical behavior of a sodium silicate glass (soda-lime-silica; SLS) and a
sodium borosilicate glass (D263T) are systematically and comprehensively characterized by …

The charge compensation effect of alkaline leads to the unexpected rise in slag viscosity
and the shutdown of industrial processes such as coal gasification and other processes …

In this study a cutting-edge approach to producing accurate and computationally efficient
interatomic potentials using machine learning algorithms is presented. Specifically, the study …

The mixed alkali effect in glasses is the deviation from linear property changes when alkali
cations are mixed. The extent of this effect and its structural origin remain topics of interest. In …

Germanate glasses are of particular interest for their excellent optical properties as well as
their abnormal structural changes that appear with the addition of modifiers, giving rise to the …

Calcium aluminosilicate glasses have technological importance for a variety of industrial
applications. However, the short-range structure of this glass system remains widely …

Abstract Knowledge of the distribution of short range-order structural units in oxide glasses
is important for deciphering their composition–property relations. However, measurements …

The brittleness of oxide glasses remains a critical problem, limiting their suitability for high‐
performance and safety‐critical applications. In this study, we attempt to address this by …

Boroaluminosilicate (BAS) glasses have excellent chemical durability and mechanical
properties and are widely used in the pharmaceutical packaging industry. The corrosion …