Abstract

Experiments have shown that graphene-supported Ni-single atom catalysts (Ni-SACs) provide a promising strategy for the electrochemical reduction of CO2 to CO, but the nature of the Ni sites (Ni-N2C2, Ni-N3C1, Ni-N4) in Ni-SACs has not been determined experimentally. Here, we apply the recently developed grand canonical potential kinetics (GCP-K) formulation of quantum mechanics to predict the kinetics as a function of applied potential (U) to determine faradic efficiency, turn over frequency, and Tafel slope for CO and H2 production for all three sites. We predict an onset potential (at 10 mA cm−2) Uonset = −0.84 V (vs. RHE) for Ni-N2C2 site and Uonset = −0.92 V for Ni-N3C1 site in agreement with experiments, and Uonset = −1.03 V for Ni-N4. We predict that the highest current is for Ni-N4, leading to 700 mA cm−2 at U = −1.12 V. To help determine the actual sites in the experiments, we predict the XPS binding energy shift and CO vibrational frequency for each site.

Single atom catalysts (SACs) are promising in electrocatalysis but challenging to characterize. Here, the authors apply a recently developed quantum mechanical grand canonical potential kinetics method to predict reaction mechanisms and rates for CO2 reduction at different sites of graphene-supported Ni-SACs.

Details

Title
Reaction mechanism and kinetics for CO2 reduction on nickel single atom catalysts from quantum mechanics
Author
Hossain Md Delowar 1 ; Huang, Yufeng 2 ; Yu, Ted H 3 ; Goddard III William A 2   VIAFID ORCID Logo  ; Luo Zhengtang 4   VIAFID ORCID Logo 

 William Mong Institute of Nano Science and Technology, and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science and Technology, Clear Water Bay, Department of Chemical and Biological Engineering, Kowloon, Hong Kong; California Institute of Technology, Materials and Process Simulation Center (mc 134-74), Pasadena, USA (GRID:grid.20861.3d) (ISNI:0000000107068890) 
 California Institute of Technology, Materials and Process Simulation Center (mc 134-74), Pasadena, USA (GRID:grid.20861.3d) (ISNI:0000000107068890) 
 California Institute of Technology, Materials and Process Simulation Center (mc 134-74), Pasadena, USA (GRID:grid.20861.3d) (ISNI:0000000107068890); California State University, Department of Chemical Engineering, Long Beach, USA (GRID:grid.213902.b) (ISNI:0000 0000 9093 6830) 
 William Mong Institute of Nano Science and Technology, and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science and Technology, Clear Water Bay, Department of Chemical and Biological Engineering, Kowloon, Hong Kong (GRID:grid.20861.3d) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2399789088
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.