Boosting Homogeneous Hydrogenation of CO2 via the Data‐Driven Approach

The catalytic hydrogenation of CO₂ to produce value-added chemicals represents an essential strategy for sustainable carbon utilization. However, the design a novel and robust Ru catalyst for this process remains inadequately addressed. This concept paper introduces the recent advances in the homogeneous hydrogenation of CO₂ catalyzed by Ru complexes and highlights the use of the intelligence-assisted data-driven approach.

Abstract

The homogeneous hydrogenation of CO₂ to value-added chemicals, such as formic acid and methanol, represents a promising pathway for carbon utilization and renewable energy storage. We have previously investigated the Ru-catalyzed hydrogenation of CO₂ to formate using a data-driven approach. In this concept, we present the essential advances in the homogeneous hydrogenation of CO₂ catalyzed by Ru complexes, highlighting the application of descriptors and the potential of an intelligence-assisted data-driven approach.

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