Understanding structure–property relationships in glass is extremely challenging due to their disordered structure. Topology, connectivity, and homology concepts have enabled many breakthroughs, both from a fundamental perspective and practical standpoint in the area of glass science. This session will focus on recent advances in the field of composition-structure–property relationships of disordered materials through experimental, computational, and theoretical studies.

Broad topics of interest include, but are not restricted to, topology and rigidity in glass; effect of extreme conditions on the atomic topology and connectivity; topological modeling applied to the prediction of glass properties; quantifying the medium-range order–composition relationships through persistent homology; quantifying short-range order–composition relationships through statistical mechanics; topology-based machine learning; and connectivity, topology, and homology beyond oxide glass (granular materials, gels, disordered solids, phase-change materials, proteins).