Large-scale characterization of chemical bonding and topology in the Materials Project database

Topology is key to the determination of many physical and chemical properties of materials, such as electrical and optical properties, magnetic properties, thermal and mechanical behaviour, etc. However, despite the growing number of databases of crystalline materials available, there has been very little systematic effort to date to analyze their topology. In this work, we have leveraged recent algorithmic advances in the analysis of chemical bonding and topology determination in order to perform high-throughput analysis of topology of materials on a large scale databases of existing and hypothetical materials, the Materials Project data set of more than 150,000 structures. Beyond the statistical analysis of the most frequent topologies and coordination environments, the publication of this topological data will allow researchers to search for materials by topology and chemical environment, paving the way to enhanced performance in materials screening for applications. We demonstrated two examples of the usefulness of topological considerations in such computational screening.