Abstract
Balancing global energy needs against increasing greenhouse gas emissions requires new methods for efficient CO(2) reduction. While photoreduction of CO(2) is promising, the rational design of photocatalysts hinges on precise characterization of the surface catalytic reactions. Cu(2)O is a promising next-generation photocatalyst, but the atomic-scale description of the interaction between CO(2) and the Cu(2)O surface is largely unknown, and detailed experimental measures are lacking. In this study, density-functional theory (DFT) calculations have been performed to identify the Cu(2)O (110) surface stoichiometry that favors CO(2) reduction. To facilitate interpretation of scanning tunneling microscopy (STM) and X-ray absorption near-edge structures (XANES) measurements, which are useful for characterizing catalytic reactions, we present simulations based on DFT-derived surface morphologies with various adsorbate types. STM and XANES simulations were performed using the Tersoff-Hamann approximation and Bethe-Salpeter equation (BSE) approach, respectively. The results provide guidance for observation of CO(2) reduction reaction on, and rational surface engineering of, Cu(2)O (110). They also demonstrate the effectiveness of computational image and spectroscopy modeling as a predictive tool for surface catalysis characterization.