Structure-Sensitive CO<sub>2</sub> Electroreduction to Hydrocarbons on Ultrathin 5-fold Twinned Copper Nanowires
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No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Machine scores (provisional)
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- Teacher spread
- 0.234 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Copper is uniquely active for the electrocatalytic reduction of carbon dioxide (CO 2 ) to products beyond carbon monoxide, such as methane (CH 4 ) and ethylene (C 2 H 4 ). Therefore, understanding selectivity trends for CO 2 electrocatalysis on copper surfaces is critical for developing more efficient catalysts for CO 2 conversion to higher order products. Herein, we investigate the electrocatalytic activity of ultrathin (diameter ∼20 nm) 5-fold twinned copper nanowires (Cu NWs) for CO 2 reduction. These Cu NW catalysts were found to exhibit high CH 4 selectivity over other carbon products, reaching 55% Faradaic efficiency (FE) at −1.25 V versus reversible hydrogen electrode while other products were produced with less than 5% FE. This selectivity was found to be sensitive to morphological changes in the nanowire catalyst observed over the course of electrolysis. Wrapping the wires with graphene oxide was found to be a successful strategy for preserving both the morphology and reaction selectivity of the Cu NWs. These results suggest that product selectivity on Cu NWs is highly dependent on morphological features and that hydrocarbon selectivity can be manipulated by structural evolution or the prevention thereof.
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The record
- Venue
- Nano Letters
- Topic
- CO2 Reduction Techniques and Catalysts
- Field
- Energy
- Canadian institutions
- —
- Funders
- Basic Energy SciencesSamsungCanadian Institute for Advanced ResearchU.S. Department of Energy
- Keywords
- NanowireCopperFold (higher-order function)Materials scienceNanotechnologyCrystallographyNanoparticleChemistryInorganic chemistryChemical engineeringMetallurgy
- Has abstract in OpenAlex
- yes