Deep learning aided rational design of oxide glasses

Abstract

Designing new glasses requires<italic>a priori</italic>knowledge of how the composition of a glass dictates its properties such as stiffness, density, or processability. Developing multi-property design charts, namely, glass selection charts, using deep learning can enable discovery of novel glasses with targeted properties.