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Tunable Product Selectivity in Electrochemical CO2Reduction on Well-Mixed Ni-Cu Alloys

Title
Tunable Product Selectivity in Electrochemical CO2Reduction on Well-Mixed Ni-Cu Alloys
Author(s)
Song, H.Tan, Y.C.Kim, B.Ringe, StefanOh, J.
Issued Date
2021-11
Citation
ACS Applied Materials & Interfaces, v.13, no.46, pp.55272 - 55280
Type
Article
Author Keywords
CO2reductionCu-based alloy catalystsCu-Ni alloyselectrochemistryproduct selectivity control
Keywords
NANOPARTICLESCONVERSIONFORMATEMETHANECARBON-DIOXIDEMECHANISTIC INSIGHTSCOPPERCATALYSTSSURFACEELECTROREDUCTION
ISSN
1944-8244
Abstract
Electrochemical reduction of CO2 on copper-based catalysts has become a promising strategy to mitigate greenhouse gas emissions and gain valuable chemicals and fuels. Unfortunately, however, the generally low product selectivity of the process decreases the industrial competitiveness compared to the established large-scale chemical processes. Here, we present random solid solution Cu1-xNix alloy catalysts that, due to their full miscibility, enable a systematic modulation of adsorption energies. In particular, we find that these catalysts lead to an increase of hydrogen evolution with the Ni content, which correlates with a significant increase of the selectivity for methane formation relative to C2 products such as ethylene and ethanol. From experimental and theoretical insights, we find the increased hydrogen atom coverage to facilitate Langmuir-Hinshelwood-like hydrogenation of surface intermediates, giving an impressive almost 2 orders of magnitude increase in the CH4 to C2H4 + C2H5OH selectivity on Cu0.87Ni0.13 at -300 mA cm-2. This study provides important insights and design concepts for the tunability of product selectivity for electrochemical CO2 reduction that will help to pave the way toward industrially competitive electrocatalyst materials. © 2021 American Chemical Society.
URI
http://hdl.handle.net/20.500.11750/15921
DOI
10.1021/acsami.1c19224
Publisher
American Chemical Society
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Department of Energy Science and Engineering Ab initio multi-scale engineering Lab(AIMS-E Lab) 1. Journal Articles

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