Traditional approaches in catalysis often involve trial-and-error methods, which are time-consuming and resource-intensive. The integration of data science can significantly reduce the time and cost associated with discovering new catalysts. This initiative is crucial for addressing global challenges such as sustainable energy, environmental pollution, and industrial efficiency.
