Catalysis research often involves dealing with complex networks of reactions, catalysts, intermediates, and products. Neo4j can be employed to model these complex networks in a more natural and efficient way. By representing chemical entities as nodes and their interactions as relationships, researchers can easily query and analyze the data to uncover new insights.
