Imaging catalytic CO2 reduction on Cu2O (110) -- A First-Principles study

Published

March 5, 2018

Author(s)

Eric L. Shirley, John T. Vinson, Liang Li, Maria K. Chan, Jeffry Greeley, Jeffrey R. Guest, Rui Zhang

Abstract

Balancing global energy needs against increasing greenhouse gas emissions requires new methods for efficient CO2 reduction. While photoreduction of CO2 is promising, the rational design of photocatalysts hinges on precise characterization of the surface catalytic reactions. Cu2O is a promising next-generation photocatalyst, but the atomic-scale description of the interaction between CO2 and the Cu2O surface is largely unknown, and detailed experimental measures are lacking. In this study, density functional theory (DFT) calculations have been performed to identify the Cu2O (110) surface stoichiometry that favors CO2 reduction. To facilitate interpretation of measurements widely used in characterizing catalytic reactions, i.e., scanning tunneling microscopy (STM) and X-ray absorption near edge structures (XANES), we present simulations based on DFT-derived surface morphologies with various adsorbate types. We use the Tersoff-Hamann approximation and Bethe-Salpeter equation (BSE) approach, respectively. The results provide guidance for observation of CO2 reduction reaction on, and rational surface engineering of, Cu2O (110),. They also demonstrate the effectiveness of computational image and spectroscopy modeling as a predictive tool for surface catalysis characterization.

Citation

Journal of the American Chemical Society

Volume

30

Issue

6

Pub Type

Journals

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DOI Link

Keywords

carbon dioxide, catalysis, first-principles, redox, scanning tunneling microscopy, x-ray absorption near-edge spectroscopy

Citation

Shirley, E. , Vinson, J. , Li, L. , Chan, M. , Greeley, J. , Guest, J. and Zhang, R. (2018), Imaging catalytic CO2 reduction on Cu2O (110) -- A First-Principles study, Journal of the American Chemical Society, [online], https://doi.org/10.1021/acs.chemmater.7b04803 (Accessed October 17, 2025)