journal article·2024-02-09Open access

The Influence of Mesoscopic Surface Structure on the Electrocatalytic Selectivity of CO2 Reduction with UHV-Prepared Cu(111) Single Crystals

Khanh-Ly C. Nguyen, Jared P. Bruce, Aram Yoon, Juan J. Navarro, Fabian Scholten, Felix Landwehr, Clara Rettenmaier, Markus Heyde, Beatriz Roldan Cuenya

ACS Energy Letters· Volume 9· Issue 2

Abstract

High Resolution Image Download MS PowerPoint Slide The key role of morphological defects (e.g., irregular steps and dislocations) on the selectivity of model Cu catalysts for the electrocatalytic reduction of CO 2 (CO 2 RR) is illustrated here. Cu(111) single-crystal surfaces prepared under ultrahigh vacuum (UHV) conditions and presenting similar chemical and local microscopic surface features were found to display different product selectivity during the CO 2 RR. In particular, changes in selectivity from hydrogen-dominant to hydrocarbon-dominant product distributions were observed based on the number of CO 2 RR electrolysis pretreatment cycles performed prior to a subsequent UHV surface regeneration treatment, which lead to surfaces with seemingly identical chemical composition and local crystallographic structure. However, significant mesostructural changes were observed through a micron-scale microscopic analysis, including a higher density of irregular steps on the samples producing hydrocarbons. Thus, our findings highlight that step edges are key for C–C coupling in the CO 2 RR and that not only atomistic but also mesoscale characterization of electrocatalytic materials is needed in order to comprehend complex selectivity trends.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: CO2 Reduction Techniques and Catalysts · Ionic liquids properties and applications · Advanced Thermoelectric Materials and Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Interface Science, Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, Berlin 14195, Germany

Funding

Deutsche Forschungsgemeinschaft · H2020 European Research Council

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