Single-Atom Catalysis: An Opportunity For Surface Science

TL;DR

This paper discusses how surface science techniques can precisely characterize single-atom catalysts, aiding the understanding and development of these catalysts through experimental validation and computational benchmarking.

Contribution

It emphasizes the importance of surface science methods for accurately determining atomic geometries and mechanisms in SACs, facilitating their rational design and optimization.

Findings

Surface science enables precise geometry determination of metal adatoms.

Benchmarking theoretical models improves the reliability of SAC predictions.

Insights from experiments guide the design of SACs on various supports.

Abstract

Over the past decade, extensive research into single-atom catalysts (SACs) has revealed that the catalytic behavior of metal adatoms is highly dependent on how they interact with their support. A strong dependence on the local coordination environment has led to comparisons with metal-organic complexes, and there is growing excitement about the potential to fine-tune SACs by controlling the adsorption geometry. The rise of computational screening to identify the optimal support-metal combinations underscores the need for rigorous benchmarking of theoretical methods, to validate realistic geometries, mechanisms, and the impact of adsorption on stability and catalytic activity. The surface science approach is particularly well-suited for this task because it allows to precisely determine the geometry of the metal atom and interpret its catalytic behavior. Moreover, the effects of temperature and molecular adsorption on the model catalysts stability can be studied in isolation, and conclusions drawn from UHV studies tested in increasingly common near-ambient pressure and electrochemical setups. This perspective highlights recent breakthroughs and specific systems, including metal oxides, metal-organic frameworks, and carbon nitrides, where insights from surface science experiments can significantly advance understanding in this rapidly evolving field.