Cassandra's importance lies in its ability to streamline the discovery and optimization of catalysts. Traditionally, developing a new catalyst involves extensive experimental trials, which can be time-consuming and costly. By contrast, Cassandra utilizes quantum chemistry calculations, machine learning, and big data analytics to predict how catalysts will behave under different conditions. This accelerates the development process and reduces costs.
