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Title: Imaging Catalytic Activation of CO 2 on Cu 2O (110): A First-Principles Study

Balancing global energy needs against increasing greenhouse gas emissions requires new methods for efficient CO 2 reduction. While photoreduction of CO 2 is a viable approach for fuel generation, the rational design of photocatalysts hinges on precise characterization of the surface catalytic reactions. Cu 2O is a promising next-generation photocatalyst, but the atomic-scale description of the interaction between CO 2 and the Cu 2O surface is largely unknown, and detailed experimental measurements are lacking. In this study, density-functional-theory (DFT) calculations have been performed to identify the Cu 2O (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 2O (110). In conclusion, they also demonstrate the effectiveness of computational image and spectroscopy modeling as a predictive tool for surface catalysis characterization.
Authors:
ORCiD logo [1] ;  [1] ; ORCiD logo [2] ;  [2] ; ORCiD logo [3] ; ORCiD logo [1] ; ORCiD logo [1]
  1. Argonne National Lab. (ANL), Argonne, IL (United States)
  2. National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States)
  3. Purdue Univ., West Lafayette, IN (United States)
Publication Date:
Grant/Contract Number:
AC02-06CH11357
Type:
Accepted Manuscript
Journal Name:
Chemistry of Materials
Additional Journal Information:
Journal Volume: 30; Journal Issue: 6; Journal ID: ISSN 0897-4756
Publisher:
American Chemical Society (ACS)
Research Org:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
OSTI Identifier:
1434330

Li, Liang, Zhang, Rui, Vinson, John, Shirley, Eric L., Greeley, Jeffrey P., Guest, Jeffrey R., and Chan, Maria K. Y.. Imaging Catalytic Activation of CO2 on Cu2O (110): A First-Principles Study. United States: N. p., Web. doi:10.1021/acs.chemmater.7b04803.
Li, Liang, Zhang, Rui, Vinson, John, Shirley, Eric L., Greeley, Jeffrey P., Guest, Jeffrey R., & Chan, Maria K. Y.. Imaging Catalytic Activation of CO2 on Cu2O (110): A First-Principles Study. United States. doi:10.1021/acs.chemmater.7b04803.
Li, Liang, Zhang, Rui, Vinson, John, Shirley, Eric L., Greeley, Jeffrey P., Guest, Jeffrey R., and Chan, Maria K. Y.. 2018. "Imaging Catalytic Activation of CO2 on Cu2O (110): A First-Principles Study". United States. doi:10.1021/acs.chemmater.7b04803.
@article{osti_1434330,
title = {Imaging Catalytic Activation of CO2 on Cu2O (110): A First-Principles Study},
author = {Li, Liang and Zhang, Rui and Vinson, John and Shirley, Eric L. and Greeley, Jeffrey P. and Guest, Jeffrey R. and Chan, Maria K. Y.},
abstractNote = {Balancing global energy needs against increasing greenhouse gas emissions requires new methods for efficient CO2 reduction. While photoreduction of CO2 is a viable approach for fuel generation, 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 measurements 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 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 CO2 reduction reaction on, and rational surface engineering of, Cu2O (110). In conclusion, they also demonstrate the effectiveness of computational image and spectroscopy modeling as a predictive tool for surface catalysis characterization.},
doi = {10.1021/acs.chemmater.7b04803},
journal = {Chemistry of Materials},
number = 6,
volume = 30,
place = {United States},
year = {2018},
month = {3}
}