Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks
{{output}}
Graph neural networks can accurately predict the chemical properties of many molecular systems, but their suitability for large, macromolecular assemblies such as gels is unknown. Here, graph neural networks were trained and optimized for two large-scale class... ...
