The nature of catalysis involves numerous interconnected processes. Traditional databases may struggle with performance and complexity when querying such interconnected data. Graph databases like Neo4j excel in these scenarios due to their ability to traverse nodes and relationships quickly. This makes them ideal for exploring reaction mechanisms, optimizing catalyst design, and understanding the overall catalytic cycle.
