Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source. In the field of catalysis, data fusion can be employed to combine data from various experimental techniques, computational methods, and theoretical models to gain a comprehensive understanding of catalytic processes.
