Data connectivity in the context of catalysis refers to the seamless integration and communication between different data sources, computational tools, and experimental platforms. This connectivity enhances the ability to analyze, interpret, and leverage data for the design and optimization of catalysts. Effective data connectivity can bridge gaps between experimental data, computational models, and practical applications in industrial processes.
