CrystalNets: A web app for topology determination of crystalline structures

• CrystalNets is a new web application for topology identification • It offers a user-friendly interface to the powerful CrystalNets.jl library • CrystalNets includes visualization of the nets identified and the clustering performed • Options allow to customize its behavior, including detection of bonding, choice of clustering model, type of material studied, etc. • It offers improved handling of unstable nets compared to existing software Because topology plays a key role in many chemical and physical properties of materials, identification of topology from crystalline structures is a common and important task in materials science. We present here a new web application, CrystalNets, whose user-friendly interface allows scientists to identify and visualize the topology of crystals from their atomic structure in CIF format. The software has a lot of options to customize its features, such as detection of bonding, choice of clustering model, type of materials (inorganic, hybrid, etc). It has a default mode with powerful heuristics, and allows the user to easily visualize and check the topology detected against the full structure. We also improved the underlying CrystalNets.jl Julia library, including a systematic algorithm to handle the complex case of unstable nets.