Synergistic Architectures in Fenton‐Like Catalysis: Bridging Single‐Atom and Nanoparticle/Cluster Dynamics for Enhanced Activity, Stability, and Selectivity

Abstract Synergy of single atoms and nanoparticles (NPs)/clusters for boosting Fenton‐like reactions has been reported recently, but their activity‐stability‐selectivity tradeoff in Fenton‐like chemistry has not been considered. In this review, the latest advancements in synergistic effects between single atoms and NPs/clusters are overviewed, the evolution of key performance in Fenton‐like systems is innovatively and systematically analyzed, providing forward‐looking insights. The electronic structural characteristics and universal principles of the integrated single atoms and NPs/clusters are first elucidated, highlighting the Fenton‐like catalysis derived from dynamic evolution of NPs, atomic clusters, and single atoms. Furthermore, the Fenton‐like activity, stability, and selectivity of the integrated single atom and NPs/clusters systems regulated by various coordination configurations are also determined. Finally, the guiding significance of machine learning (ML) for Fenton‐like reactions based on the composite catalyst is discussed. Additionally, the challenges and prospects of integrated single atom and NPs/clusters for the Fenton‐like catalysis are outlined, including the precise structural regulation, catalytic devices/costs, and the integration of DFT simulations and ML techniques. These insights aim to propose future directions for the development of next‐generation catalysts with high activity, stability, and selectivity, thereby facilitating broader applications in the field of environmental remediation.