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      Modulating microenvironments to enhance CO2 electroreduction performance

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      eScience
      Elsevier BV

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          Progress and Perspectives of Electrochemical CO2 Reduction on Copper in Aqueous Electrolyte

          To date, copper is the only heterogeneous catalyst that has shown a propensity to produce valuable hydrocarbons and alcohols, such as ethylene and ethanol, from electrochemical CO2 reduction (CO2R). There are variety of factors that impact CO2R activity and selectivity, including the catalyst surface structure, morphology, composition, the choice of electrolyte ions and pH, and the electrochemical cell design. Many of these factors are often intertwined, which can complicate catalyst discovery and design efforts. Here we take a broad and historical view of these different aspects and their complex interplay in CO2R catalysis on Cu, with the purpose of providing new insights, critical evaluations, and guidance to the field with regard to research directions and best practices. First, we describe the various experimental probes and complementary theoretical methods that have been used to discern the mechanisms by which products are formed, and next we present our current understanding of the complex reaction networks for CO2R on Cu. We then analyze two key methods that have been used in attempts to alter the activity and selectivity of Cu: nanostructuring and the formation of bimetallic electrodes. Finally, we offer some perspectives on the future outlook for electrochemical CO2R.
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            CO2electroreduction to ethylene via hydroxide-mediated copper catalysis at an abrupt interface

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              How copper catalyzes the electroreduction of carbon dioxide into hydrocarbon fuels

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                Author and article information

                Contributors
                Journal
                eScience
                eScience
                Elsevier BV
                26671417
                June 2023
                June 2023
                : 3
                : 3
                : 100119
                Article
                10.1016/j.esci.2023.100119
                270b7223-8cdf-4da0-8f2c-3db8f51434e5
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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