Understanding structure–property relationships in glasses 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. The aim of this session is to focus on the recent advances in the field of composition-structure–property relationships disordered materials through experimental, computational, and theoretical studies.

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

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