AI Summary
This article discusses the use of artificial intelligence to integrate theoretical and experimental data in studying the materials genes of CO2 hydrogenation on supported cobalt catalysts. The goal is to gain insights into the catalyst properties that enable efficient CO2 conversion. This approach has the potential to advance our understanding of catalysis and help optimize catalyst design for industrial applications.