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Published July 14, 2021 | Supplemental Material
Journal Article Open

Predictions of Chemical Shifts for Reactive Intermediates in CO₂ Reduction under Operando Conditions

Abstract

The electroreduction of CO₂ into value-added products is a significant step toward closing the global carbon loop, but its performance remains far from meeting the requirement of any practical application. The insufficient understanding of the reaction mechanism is one of the major causes that impede future development. Although several possible reaction pathways have been proposed, significant debates exist due to the lack of experimental support. In this work, we provide opportunities for experiments to validate the reaction mechanism by providing predictions of the core-level shifts (CLS) of reactive intermediates, which can be verified by the X-ray photoelectron spectroscopy (XPS) data in the experiment. We first validated our methods from benchmark calculations of cases with reliable experiments, from which we reach consistent predictions with experimental results. Then, we conduct theoretical calculations under conditions close to the operando experimental ones and predict the C 1s CLS of 20 reactive intermediates in the CO₂ reduction reaction (CO₂RR) to CH₄ and C₂H₄ on a Cu(100) catalyst by carefully including solvation effects and applied voltage (U). The results presented in this work should be guidelines for future experiments to verify and interpret the reaction mechanism of CO₂RR.

Additional Information

© 2021 American Chemical Society. Received: February 11, 2021; Accepted: June 15, 2021; Published: June 29, 2021. TC was supported by the National Natural Science Foundation of China (grant no. 21903058), the Natural Science Foundation of Jiangsu Province (Grant go. BK20190810), Jiangsu Province High-Level Talents (JNHB-106), and China Postdoctoral Science Foundation (no. 2019M660128). This work was partly supported by the Collaborative Innovation Center of Suzhou Nano Science and Technology, the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), and the 111 Project. WAG was supported by the Liquid Sunlight Alliance, which is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Fuels from Sunlight Hub under Award Number DE-SC0021266. Computational support from CINECA Supercomputing Centre within the ISCRA program is gratefully acknowledged. AF and WAG received support from NSF (CBET-1805022). Author Contributions. H.Y. and F.R.N. contributed equally to this work. The authors declare no competing financial interest.

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